Overview

Dataset statistics

Number of variables203
Number of observations73663
Missing cells144048
Missing cells (%)1.0%
Total size in memory114.6 MiB
Average record size in memory1.6 KiB

Variable types

Numeric201
Text2

Alerts

E230 has 72186 (98.0%) missing valuesMissing
E258 has 71862 (97.6%) missing valuesMissing
V163 is highly skewed (γ1 = 25.37577016)Skewed
V164 is highly skewed (γ1 = 40.979318)Skewed
V165 is highly skewed (γ1 = 39.83170941)Skewed
V166 is highly skewed (γ1 = 41.16478104)Skewed
V167 is highly skewed (γ1 = 40.34051677)Skewed
V168 is highly skewed (γ1 = 37.34740199)Skewed
V169 is highly skewed (γ1 = 24.20700531)Skewed
V170 is highly skewed (γ1 = 74.57457337)Skewed
V171 is highly skewed (γ1 = 100.8646974)Skewed
V172 is highly skewed (γ1 = 90.35877581)Skewed
V173 is highly skewed (γ1 = 138.8843032)Skewed
V174 is highly skewed (γ1 = 208.5127246)Skewed
V175 is highly skewed (γ1 = 84.99724525)Skewed
V176 is highly skewed (γ1 = 37.36073139)Skewed
V177 is highly skewed (γ1 = 48.99266944)Skewed
V178 is highly skewed (γ1 = 42.74680765)Skewed
V179 is highly skewed (γ1 = 53.87815274)Skewed
V180 is highly skewed (γ1 = 91.38215602)Skewed
V181 is highly skewed (γ1 = 41.07016166)Skewed
V182 is highly skewed (γ1 = 26.10209218)Skewed
V183 is highly skewed (γ1 = 22.37729072)Skewed
V184 is highly skewed (γ1 = 24.17265173)Skewed
V187 is highly skewed (γ1 = 68.03574524)Skewed
V188 is highly skewed (γ1 = 130.8125041)Skewed
V189 is highly skewed (γ1 = 148.2728226)Skewed
V190 is highly skewed (γ1 = 141.8834465)Skewed
V191 is highly skewed (γ1 = 152.8614648)Skewed
V192 is highly skewed (γ1 = 175.1200077)Skewed
V193 is highly skewed (γ1 = 68.56940413)Skewed
V194 is highly skewed (γ1 = 110.008573)Skewed
V195 is highly skewed (γ1 = 135.8162684)Skewed
V196 is highly skewed (γ1 = 126.1676388)Skewed
V197 is highly skewed (γ1 = 138.7410693)Skewed
V198 is highly skewed (γ1 = 110.9411456)Skewed
V199 is highly skewed (γ1 = 43.88465176)Skewed
V200 is highly skewed (γ1 = 28.55565199)Skewed
V201 is highly skewed (γ1 = 24.484269)Skewed
V202 is highly skewed (γ1 = 26.44512508)Skewed
V203 is highly skewed (γ1 = 28.76811938)Skewed
V204 is highly skewed (γ1 = 27.66411962)Skewed
V205 is highly skewed (γ1 = 27.90011291)Skewed
V206 is highly skewed (γ1 = 32.33160573)Skewed
V207 is highly skewed (γ1 = 32.07054936)Skewed
V208 is highly skewed (γ1 = 31.92279741)Skewed
V209 is highly skewed (γ1 = 251.8959653)Skewed
V210 is highly skewed (γ1 = 247.265192)Skewed
V211 is highly skewed (γ1 = 249.9446454)Skewed
V212 is highly skewed (γ1 = 180.1648713)Skewed
V213 is highly skewed (γ1 = 192.9416241)Skewed
V214 is highly skewed (γ1 = 189.7008971)Skewed
V215 is highly skewed (γ1 = 271.409285)Skewed
V216 is highly skewed (γ1 = 240.3147669)Skewed
V217 is highly skewed (γ1 = 269.1404009)Skewed
V218 is highly skewed (γ1 = 52.96355163)Skewed
V219 is highly skewed (γ1 = 56.51680242)Skewed
V220 is highly skewed (γ1 = 54.63879786)Skewed
V221 is highly skewed (γ1 = 94.23204097)Skewed
V222 is highly skewed (γ1 = 101.9630214)Skewed
V223 is highly skewed (γ1 = 98.70880286)Skewed
V224 is highly skewed (γ1 = 136.0714216)Skewed
V225 is highly skewed (γ1 = 153.9208925)Skewed
V226 is highly skewed (γ1 = 145.8958053)Skewed
V227 is highly skewed (γ1 = 87.79166801)Skewed
V228 is highly skewed (γ1 = 87.45617262)Skewed
V229 is highly skewed (γ1 = 87.64228698)Skewed
V231 is highly skewed (γ1 = 26.9146977)Skewed
V232 is highly skewed (γ1 = 23.19871426)Skewed
V233 is highly skewed (γ1 = 24.98988752)Skewed
V234 is highly skewed (γ1 = 37.46383563)Skewed
V235 is highly skewed (γ1 = 44.840718)Skewed
V236 is highly skewed (γ1 = 40.89965029)Skewed
V237 is highly skewed (γ1 = 222.9937641)Skewed
V238 is highly skewed (γ1 = 204.835079)Skewed
V239 is highly skewed (γ1 = 216.1756449)Skewed
V240 is highly skewed (γ1 = 22.5143012)Skewed
V241 is highly skewed (γ1 = 26.96011772)Skewed
V242 is highly skewed (γ1 = 24.90605132)Skewed
V243 is highly skewed (γ1 = 162.9248614)Skewed
V244 is highly skewed (γ1 = 158.259579)Skewed
V245 is highly skewed (γ1 = 160.7976247)Skewed
V246 is highly skewed (γ1 = 148.4000083)Skewed
V247 is highly skewed (γ1 = 209.8895741)Skewed
V248 is highly skewed (γ1 = 182.5494905)Skewed
V249 is highly skewed (γ1 = 54.67770119)Skewed
V250 is highly skewed (γ1 = 53.82752767)Skewed
V251 is highly skewed (γ1 = 54.5254429)Skewed
V252 is highly skewed (γ1 = 53.66559178)Skewed
V253 is highly skewed (γ1 = 59.09200414)Skewed
V254 is highly skewed (γ1 = 56.58962328)Skewed
V255 is highly skewed (γ1 = 117.1108635)Skewed
V256 is highly skewed (γ1 = 134.3748839)Skewed
V257 is highly skewed (γ1 = 127.1222837)Skewed
V259 is highly skewed (γ1 = 26.10209218)Skewed
V260 is highly skewed (γ1 = 22.37729072)Skewed
V261 is highly skewed (γ1 = 24.17265173)Skewed
V265 is highly skewed (γ1 = 138.1765374)Skewed
V266 is highly skewed (γ1 = 98.8705799)Skewed
V267 is highly skewed (γ1 = 115.4065673)Skewed
V268 is highly skewed (γ1 = 108.907513)Skewed
V269 is highly skewed (γ1 = 99.22753106)Skewed
V270 is highly skewed (γ1 = 174.842001)Skewed
V271 is highly skewed (γ1 = 149.2499764)Skewed
V275 is highly skewed (γ1 = 36.57487274)Skewed
V281 is highly skewed (γ1 = 29.87728609)Skewed
V283 is highly skewed (γ1 = 38.6540715)Skewed
V284 is highly skewed (γ1 = 42.09392498)Skewed
V285 is highly skewed (γ1 = 62.24927511)Skewed
V286 is highly skewed (γ1 = 52.98146756)Skewed
V287 is highly skewed (γ1 = 49.01608152)Skewed
V289 is highly skewed (γ1 = 22.73601112)Skewed
V290 is highly skewed (γ1 = 90.89403131)Skewed
V291 is highly skewed (γ1 = 116.1352958)Skewed
V292 is highly skewed (γ1 = 105.4671746)Skewed
V293 is highly skewed (γ1 = 107.5645749)Skewed
V294 is highly skewed (γ1 = 85.6136421)Skewed
V295 is highly skewed (γ1 = 72.91088703)Skewed
V296 is highly skewed (γ1 = 115.0314585)Skewed
V297 is highly skewed (γ1 = 133.2218272)Skewed
V298 is highly skewed (γ1 = 126.2433063)Skewed
V299 is highly skewed (γ1 = 137.6649368)Skewed
V300 is highly skewed (γ1 = 147.6526126)Skewed
V301 is highly skewed (γ1 = 115.1563533)Skewed
V302 is highly skewed (γ1 = 122.176477)Skewed
V303 is highly skewed (γ1 = 138.2120922)Skewed
V304 is highly skewed (γ1 = 133.0139062)Skewed
V305 is highly skewed (γ1 = 149.6779959)Skewed
V306 is highly skewed (γ1 = 165.8228317)Skewed
V307 is highly skewed (γ1 = 121.420305)Skewed
V308 is highly skewed (γ1 = 130.0266935)Skewed
V309 is highly skewed (γ1 = 147.3044385)Skewed
V310 is highly skewed (γ1 = 141.7272693)Skewed
V311 is highly skewed (γ1 = 151.1804641)Skewed
V312 is highly skewed (γ1 = 165.6654999)Skewed
V313 is highly skewed (γ1 = 157.3434236)Skewed
V314 is highly skewed (γ1 = 136.262013)Skewed
V315 is highly skewed (γ1 = 149.0559768)Skewed
V316 is highly skewed (γ1 = 145.2418211)Skewed
V317 is highly skewed (γ1 = 158.9719475)Skewed
V318 is highly skewed (γ1 = 164.1457902)Skewed
V319 is highly skewed (γ1 = 114.6547694)Skewed
V320 is highly skewed (γ1 = 138.1945572)Skewed
V321 is highly skewed (γ1 = 143.0480486)Skewed
V322 is highly skewed (γ1 = 141.8737447)Skewed
V323 is highly skewed (γ1 = 153.2570748)Skewed
V324 is highly skewed (γ1 = 179.5341979)Skewed
V325 is highly skewed (γ1 = 182.4966383)Skewed
V326 is highly skewed (γ1 = 137.167419)Skewed
V327 is highly skewed (γ1 = 145.8875157)Skewed
V328 is highly skewed (γ1 = 143.5265776)Skewed
V329 is highly skewed (γ1 = 165.6346178)Skewed
V330 is highly skewed (γ1 = 182.7433262)Skewed
V331 is highly skewed (γ1 = 175.3992378)Skewed
V332 is highly skewed (γ1 = 131.9370182)Skewed
V333 is highly skewed (γ1 = 140.8101398)Skewed
V334 is highly skewed (γ1 = 138.3567563)Skewed
V335 is highly skewed (γ1 = 166.0853833)Skewed
V336 is highly skewed (γ1 = 184.7050707)Skewed
V337 is highly skewed (γ1 = 159.4681607)Skewed
V338 is highly skewed (γ1 = 133.1426507)Skewed
V339 is highly skewed (γ1 = 142.8506886)Skewed
V340 is highly skewed (γ1 = 139.4384312)Skewed
V341 is highly skewed (γ1 = 159.5416533)Skewed
V342 is highly skewed (γ1 = 183.2743453)Skewed
V343 is highly skewed (γ1 = 210.4639585)Skewed
V344 is highly skewed (γ1 = 107.9110182)Skewed
V345 is highly skewed (γ1 = 130.7004708)Skewed
V346 is highly skewed (γ1 = 122.9481919)Skewed
V347 is highly skewed (γ1 = 108.9877721)Skewed
V348 is highly skewed (γ1 = 96.74926327)Skewed
V349 is highly skewed (γ1 = 27.60638285)Skewed
V350 is highly skewed (γ1 = 137.2211654)Skewed
V351 is highly skewed (γ1 = 256.3226478)Skewed
V352 is highly skewed (γ1 = 22.32993036)Skewed
V353 is highly skewed (γ1 = 123.1247661)Skewed
V354 is highly skewed (γ1 = 122.9481907)Skewed
V355 is highly skewed (γ1 = 115.7649331)Skewed
V356 is highly skewed (γ1 = 89.27864767)Skewed
V357 is highly skewed (γ1 = 127.6443702)Skewed
V358 is highly skewed (γ1 = 159.2472083)Skewed
V359 is highly skewed (γ1 = 28.31448255)Skewed
V360 is highly skewed (γ1 = 184.8911549)Skewed
V361 is highly skewed (γ1 = 122.9481907)Skewed
V362 is highly skewed (γ1 = 122.6354554)Skewed
V363 is highly skewed (γ1 = 188.4435619)Skewed
V364 is highly skewed (γ1 = 29.69765417)Skewed
V365 is highly skewed (γ1 = 43.08738634)Skewed
V163 has 71795 (97.5%) zerosZeros
V164 has 53405 (72.5%) zerosZeros
V165 has 56260 (76.4%) zerosZeros
V166 has 47231 (64.1%) zerosZeros
V167 has 72973 (99.1%) zerosZeros
V168 has 71476 (97.0%) zerosZeros
V169 has 73256 (99.4%) zerosZeros
V170 has 60077 (81.6%) zerosZeros
V171 has 60421 (82.0%) zerosZeros
V172 has 54588 (74.1%) zerosZeros
V173 has 72992 (99.1%) zerosZeros
V174 has 72282 (98.1%) zerosZeros
V175 has 73469 (99.7%) zerosZeros
V176 has 11331 (15.4%) zerosZeros
V177 has 11248 (15.3%) zerosZeros
V178 has 10300 (14.0%) zerosZeros
V179 has 69551 (94.4%) zerosZeros
V180 has 67010 (91.0%) zerosZeros
V181 has 65199 (88.5%) zerosZeros
V182 has 28796 (39.1%) zerosZeros
V183 has 28469 (38.6%) zerosZeros
V184 has 27995 (38.0%) zerosZeros
V185 has 64802 (88.0%) zerosZeros
V186 has 67294 (91.4%) zerosZeros
V187 has 64125 (87.1%) zerosZeros
V188 has 46595 (63.3%) zerosZeros
V189 has 46970 (63.8%) zerosZeros
V190 has 44436 (60.3%) zerosZeros
V191 has 70836 (96.2%) zerosZeros
V192 has 72270 (98.1%) zerosZeros
V193 has 66677 (90.5%) zerosZeros
V194 has 23548 (32.0%) zerosZeros
V195 has 23612 (32.1%) zerosZeros
V196 has 23388 (31.7%) zerosZeros
V197 has 63470 (86.2%) zerosZeros
V198 has 66929 (90.9%) zerosZeros
V199 has 59744 (81.1%) zerosZeros
V200 has 41096 (55.8%) zerosZeros
V201 has 41079 (55.8%) zerosZeros
V202 has 40953 (55.6%) zerosZeros
V203 has 71557 (97.1%) zerosZeros
V204 has 71514 (97.1%) zerosZeros
V205 has 71473 (97.0%) zerosZeros
V206 has 72435 (98.3%) zerosZeros
V207 has 72360 (98.2%) zerosZeros
V208 has 72279 (98.1%) zerosZeros
V209 has 73640 (> 99.9%) zerosZeros
V210 has 73638 (> 99.9%) zerosZeros
V211 has 73634 (> 99.9%) zerosZeros
V212 has 73636 (> 99.9%) zerosZeros
V213 has 73635 (> 99.9%) zerosZeros
V214 has 73630 (> 99.9%) zerosZeros
V215 has 73662 (> 99.9%) zerosZeros
V216 has 73661 (> 99.9%) zerosZeros
V217 has 73661 (> 99.9%) zerosZeros
V218 has 73420 (99.7%) zerosZeros
V219 has 73436 (99.7%) zerosZeros
V220 has 73364 (99.6%) zerosZeros
V221 has 73321 (99.5%) zerosZeros
V222 has 73313 (99.5%) zerosZeros
V223 has 73208 (99.4%) zerosZeros
V224 has 73641 (> 99.9%) zerosZeros
V225 has 73645 (> 99.9%) zerosZeros
V226 has 73637 (> 99.9%) zerosZeros
V227 has 72675 (98.7%) zerosZeros
V228 has 72590 (98.5%) zerosZeros
V229 has 72511 (98.4%) zerosZeros
V231 has 38137 (51.8%) zerosZeros
V232 has 38062 (51.7%) zerosZeros
V233 has 37845 (51.4%) zerosZeros
V234 has 71963 (97.7%) zerosZeros
V235 has 71822 (97.5%) zerosZeros
V236 has 71664 (97.3%) zerosZeros
V237 has 73429 (99.7%) zerosZeros
V238 has 73395 (99.6%) zerosZeros
V239 has 73364 (99.6%) zerosZeros
V240 has 65142 (88.4%) zerosZeros
V241 has 64882 (88.1%) zerosZeros
V242 has 64460 (87.5%) zerosZeros
V243 has 73637 (> 99.9%) zerosZeros
V244 has 73636 (> 99.9%) zerosZeros
V245 has 73634 (> 99.9%) zerosZeros
V246 has 73623 (99.9%) zerosZeros
V247 has 73616 (99.9%) zerosZeros
V248 has 73612 (99.9%) zerosZeros
V249 has 72461 (98.4%) zerosZeros
V250 has 72406 (98.3%) zerosZeros
V251 has 72324 (98.2%) zerosZeros
V252 has 73336 (99.6%) zerosZeros
V253 has 73323 (99.5%) zerosZeros
V254 has 73281 (99.5%) zerosZeros
V255 has 72626 (98.6%) zerosZeros
V256 has 72545 (98.5%) zerosZeros
V257 has 72474 (98.4%) zerosZeros
V259 has 28796 (39.1%) zerosZeros
V260 has 28469 (38.6%) zerosZeros
V261 has 27995 (38.0%) zerosZeros
V262 has 6850 (9.3%) zerosZeros
V263 has 6851 (9.3%) zerosZeros
V264 has 6851 (9.3%) zerosZeros
V265 has 6869 (9.3%) zerosZeros
V266 has 8893 (12.1%) zerosZeros
V267 has 9016 (12.2%) zerosZeros
V268 has 8455 (11.5%) zerosZeros
V269 has 65937 (89.5%) zerosZeros
V270 has 65337 (88.7%) zerosZeros
V271 has 52944 (71.9%) zerosZeros
V272 has 28971 (39.3%) zerosZeros
V273 has 28101 (38.1%) zerosZeros
V274 has 24491 (33.2%) zerosZeros
V275 has 71177 (96.6%) zerosZeros
V276 has 68828 (93.4%) zerosZeros
V277 has 66229 (89.9%) zerosZeros
V278 has 12930 (17.6%) zerosZeros
V279 has 12904 (17.5%) zerosZeros
V280 has 11452 (15.5%) zerosZeros
V281 has 68924 (93.6%) zerosZeros
V282 has 66669 (90.5%) zerosZeros
V283 has 58330 (79.2%) zerosZeros
V284 has 26940 (36.6%) zerosZeros
V285 has 30712 (41.7%) zerosZeros
V286 has 20814 (28.3%) zerosZeros
V287 has 71392 (96.9%) zerosZeros
V288 has 68903 (93.5%) zerosZeros
V289 has 68457 (92.9%) zerosZeros
V290 has 46531 (63.2%) zerosZeros
V291 has 50937 (69.1%) zerosZeros
V292 has 39489 (53.6%) zerosZeros
V293 has 72721 (98.7%) zerosZeros
V294 has 71053 (96.5%) zerosZeros
V295 has 72354 (98.2%) zerosZeros
V296 has 61742 (83.8%) zerosZeros
V297 has 63746 (86.5%) zerosZeros
V298 has 57116 (77.5%) zerosZeros
V299 has 73310 (99.5%) zerosZeros
V300 has 72570 (98.5%) zerosZeros
V301 has 73348 (99.6%) zerosZeros
V302 has 67926 (92.2%) zerosZeros
V303 has 68345 (92.8%) zerosZeros
V304 has 65131 (88.4%) zerosZeros
V305 has 73525 (99.8%) zerosZeros
V306 has 73201 (99.4%) zerosZeros
V307 has 73564 (99.9%) zerosZeros
V308 has 70040 (95.1%) zerosZeros
V309 has 70046 (95.1%) zerosZeros
V310 has 68056 (92.4%) zerosZeros
V311 has 73569 (99.9%) zerosZeros
V312 has 73451 (99.7%) zerosZeros
V313 has 73609 (99.9%) zerosZeros
V314 has 71183 (96.6%) zerosZeros
V315 has 70955 (96.3%) zerosZeros
V316 has 69623 (94.5%) zerosZeros
V317 has 73610 (99.9%) zerosZeros
V318 has 73536 (99.8%) zerosZeros
V319 has 73634 (> 99.9%) zerosZeros
V320 has 71827 (97.5%) zerosZeros
V321 has 71431 (97.0%) zerosZeros
V322 has 70491 (95.7%) zerosZeros
V323 has 73622 (99.9%) zerosZeros
V324 has 73558 (99.9%) zerosZeros
V325 has 73645 (> 99.9%) zerosZeros
V326 has 72240 (98.1%) zerosZeros
V327 has 71801 (97.5%) zerosZeros
V328 has 71026 (96.4%) zerosZeros
V329 has 73630 (> 99.9%) zerosZeros
V330 has 73573 (99.9%) zerosZeros
V331 has 73646 (> 99.9%) zerosZeros
V332 has 72362 (98.2%) zerosZeros
V333 has 71902 (97.6%) zerosZeros
V334 has 71235 (96.7%) zerosZeros
V335 has 73637 (> 99.9%) zerosZeros
V336 has 73584 (99.9%) zerosZeros
V337 has 73648 (> 99.9%) zerosZeros
V338 has 69130 (93.8%) zerosZeros
V339 has 67670 (91.9%) zerosZeros
V340 has 66526 (90.3%) zerosZeros
V341 has 73590 (99.9%) zerosZeros
V342 has 73350 (99.6%) zerosZeros
V343 has 73610 (99.9%) zerosZeros
V344 has 9082 (12.3%) zerosZeros
V345 has 9219 (12.5%) zerosZeros
V346 has 8610 (11.7%) zerosZeros
V347 has 67011 (91.0%) zerosZeros
V348 has 65998 (89.6%) zerosZeros
V349 has 53680 (72.9%) zerosZeros
V350 has 8848 (12.0%) zerosZeros
V351 has 50056 (68.0%) zerosZeros
V352 has 69843 (94.8%) zerosZeros
V353 has 72472 (98.4%) zerosZeros
V354 has 8611 (11.7%) zerosZeros
V355 has 26444 (35.9%) zerosZeros
V356 has 71035 (96.4%) zerosZeros
V357 has 30250 (41.1%) zerosZeros
V358 has 43056 (58.4%) zerosZeros
V359 has 67890 (92.2%) zerosZeros
V360 has 61103 (82.9%) zerosZeros
V361 has 8611 (11.7%) zerosZeros
V362 has 8815 (12.0%) zerosZeros
V363 has 34773 (47.2%) zerosZeros
V364 has 55977 (76.0%) zerosZeros
V365 has 69828 (94.8%) zerosZeros

Reproduction

Analysis started2024-03-10 02:12:07.405660
Analysis finished2024-03-10 02:12:12.135706
Duration4.73 seconds
Software versionydata-profiling vv4.6.5
Download configurationconfig.json

Variables

V163
Real number (ℝ)

SKEWED  ZEROS 

Distinct21
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04367185697
Minimum0
Maximum26
Zeros71795
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:12.245688image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum26
Range26
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4115520462
Coefficient of variation (CV)9.423735896
Kurtosis1049.402049
Mean0.04367185697
Median Absolute Deviation (MAD)0
Skewness25.37577016
Sum3217
Variance0.1693750867
MonotonicityNot monotonic
2024-03-09T21:12:12.489274image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 71795
97.5%
1 1295
 
1.8%
2 317
 
0.4%
3 123
 
0.2%
4 47
 
0.1%
5 24
 
< 0.1%
6 18
 
< 0.1%
7 12
 
< 0.1%
9 9
 
< 0.1%
8 4
 
< 0.1%
Other values (11) 19
 
< 0.1%
ValueCountFrequency (%)
0 71795
97.5%
1 1295
 
1.8%
2 317
 
0.4%
3 123
 
0.2%
4 47
 
0.1%
ValueCountFrequency (%)
26 1
< 0.1%
24 2
< 0.1%
21 1
< 0.1%
20 1
< 0.1%
18 2
< 0.1%

V164
Real number (ℝ)

SKEWED  ZEROS 

Distinct120
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.002348533
Minimum0
Maximum625
Zeros53405
Zeros (%)72.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:12.738427image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum625
Range625
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.742389112
Coefficient of variation (CV)6.726591489
Kurtosis2570.25628
Mean1.002348533
Median Absolute Deviation (MAD)0
Skewness40.979318
Sum73836
Variance45.45981094
MonotonicityNot monotonic
2024-03-09T21:12:13.013762image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53405
72.5%
1 10317
 
14.0%
2 4127
 
5.6%
3 1826
 
2.5%
4 1027
 
1.4%
5 673
 
0.9%
6 404
 
0.5%
7 288
 
0.4%
8 236
 
0.3%
9 168
 
0.2%
Other values (110) 1192
 
1.6%
ValueCountFrequency (%)
0 53405
72.5%
1 10317
 
14.0%
2 4127
 
5.6%
3 1826
 
2.5%
4 1027
 
1.4%
ValueCountFrequency (%)
625 1
< 0.1%
521 1
< 0.1%
417 1
< 0.1%
411 2
< 0.1%
335 1
< 0.1%

V165
Real number (ℝ)

SKEWED  ZEROS 

Distinct108
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8343673215
Minimum0
Maximum524
Zeros56260
Zeros (%)76.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:13.278072image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum524
Range524
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.112058162
Coefficient of variation (CV)7.325380566
Kurtosis2262.409855
Mean0.8343673215
Median Absolute Deviation (MAD)0
Skewness39.83170941
Sum61462
Variance37.35725497
MonotonicityNot monotonic
2024-03-09T21:12:13.550709image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56260
76.4%
1 9382
 
12.7%
2 3317
 
4.5%
3 1538
 
2.1%
4 816
 
1.1%
5 509
 
0.7%
6 331
 
0.4%
7 215
 
0.3%
8 160
 
0.2%
9 134
 
0.2%
Other values (98) 1001
 
1.4%
ValueCountFrequency (%)
0 56260
76.4%
1 9382
 
12.7%
2 3317
 
4.5%
3 1538
 
2.1%
4 816
 
1.1%
ValueCountFrequency (%)
524 1
< 0.1%
386 1
< 0.1%
365 2
< 0.1%
347 1
< 0.1%
336 1
< 0.1%

V166
Real number (ℝ)

SKEWED  ZEROS 

Distinct180
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.836715855
Minimum0
Maximum1149
Zeros47231
Zeros (%)64.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:13.818277image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum1149
Range1149
Interquartile range (IQR)1

Descriptive statistics

Standard deviation12.69182535
Coefficient of variation (CV)6.91006468
Kurtosis2486.661747
Mean1.836715855
Median Absolute Deviation (MAD)0
Skewness41.16478104
Sum135298
Variance161.0824308
MonotonicityNot monotonic
2024-03-09T21:12:14.100853image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47231
64.1%
1 11165
 
15.2%
2 5282
 
7.2%
3 2744
 
3.7%
4 1687
 
2.3%
5 1182
 
1.6%
6 799
 
1.1%
7 536
 
0.7%
8 417
 
0.6%
9 306
 
0.4%
Other values (170) 2314
 
3.1%
ValueCountFrequency (%)
0 47231
64.1%
1 11165
 
15.2%
2 5282
 
7.2%
3 2744
 
3.7%
4 1687
 
2.3%
ValueCountFrequency (%)
1149 1
< 0.1%
907 1
< 0.1%
776 2
< 0.1%
764 1
< 0.1%
647 1
< 0.1%

V167
Real number (ℝ)

SKEWED  ZEROS 

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02451705741
Minimum0
Maximum36
Zeros72973
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:14.339259image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum36
Range36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.457022088
Coefficient of variation (CV)18.64098453
Kurtosis2185.578078
Mean0.02451705741
Median Absolute Deviation (MAD)0
Skewness40.34051677
Sum1806
Variance0.2088691889
MonotonicityNot monotonic
2024-03-09T21:12:14.578854image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 72973
99.1%
1 423
 
0.6%
2 105
 
0.1%
3 47
 
0.1%
4 25
 
< 0.1%
7 20
 
< 0.1%
6 15
 
< 0.1%
5 12
 
< 0.1%
8 10
 
< 0.1%
19 6
 
< 0.1%
Other values (16) 27
 
< 0.1%
ValueCountFrequency (%)
0 72973
99.1%
1 423
 
0.6%
2 105
 
0.1%
3 47
 
0.1%
4 25
 
< 0.1%
ValueCountFrequency (%)
36 1
< 0.1%
34 1
< 0.1%
30 1
< 0.1%
28 1
< 0.1%
26 1
< 0.1%

V168
Real number (ℝ)

SKEWED  ZEROS 

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0630031359
Minimum0
Maximum59
Zeros71476
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:14.798842image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum59
Range59
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6044664925
Coefficient of variation (CV)9.594228665
Kurtosis2659.528601
Mean0.0630031359
Median Absolute Deviation (MAD)0
Skewness37.34740199
Sum4641
Variance0.3653797405
MonotonicityNot monotonic
2024-03-09T21:12:15.022437image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 71476
97.0%
1 1219
 
1.7%
2 489
 
0.7%
3 212
 
0.3%
4 106
 
0.1%
5 59
 
0.1%
6 34
 
< 0.1%
7 17
 
< 0.1%
11 9
 
< 0.1%
9 8
 
< 0.1%
Other values (16) 34
 
< 0.1%
ValueCountFrequency (%)
0 71476
97.0%
1 1219
 
1.7%
2 489
 
0.7%
3 212
 
0.3%
4 106
 
0.1%
ValueCountFrequency (%)
59 1
< 0.1%
56 1
< 0.1%
30 1
< 0.1%
29 1
< 0.1%
27 1
< 0.1%

V169
Real number (ℝ)

SKEWED  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007412133636
Minimum0
Maximum7
Zeros73256
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:15.227771image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1168603241
Coefficient of variation (CV)15.76608435
Kurtosis830.493858
Mean0.007412133636
Median Absolute Deviation (MAD)0
Skewness24.20700531
Sum546
Variance0.01365633536
MonotonicityNot monotonic
2024-03-09T21:12:15.451193image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 73256
99.4%
1 320
 
0.4%
2 61
 
0.1%
3 10
 
< 0.1%
4 10
 
< 0.1%
5 3
 
< 0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
0 73256
99.4%
1 320
 
0.4%
2 61
 
0.1%
3 10
 
< 0.1%
4 10
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
6 2
 
< 0.1%
5 3
 
< 0.1%
4 10
< 0.1%
3 10
< 0.1%

V170
Real number (ℝ)

SKEWED  ZEROS 

Distinct233
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.938082891
Minimum0
Maximum5429
Zeros60077
Zeros (%)81.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:15.689710image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum5429
Range5429
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45.19257912
Coefficient of variation (CV)23.31818692
Kurtosis7050.167205
Mean1.938082891
Median Absolute Deviation (MAD)0
Skewness74.57457337
Sum142765
Variance2042.369208
MonotonicityNot monotonic
2024-03-09T21:12:15.956964image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60077
81.6%
1 6959
 
9.4%
2 2306
 
3.1%
3 1104
 
1.5%
4 581
 
0.8%
5 414
 
0.6%
6 290
 
0.4%
7 218
 
0.3%
8 174
 
0.2%
9 143
 
0.2%
Other values (223) 1397
 
1.9%
ValueCountFrequency (%)
0 60077
81.6%
1 6959
 
9.4%
2 2306
 
3.1%
3 1104
 
1.5%
4 581
 
0.8%
ValueCountFrequency (%)
5429 1
< 0.1%
4742 1
< 0.1%
4631 1
< 0.1%
3160 1
< 0.1%
2988 1
< 0.1%

V171
Real number (ℝ)

SKEWED  ZEROS 

Distinct233
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.284050337
Minimum0
Maximum10286
Zeros60421
Zeros (%)82.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:16.224231image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum10286
Range10286
Interquartile range (IQR)0

Descriptive statistics

Standard deviation70.54607653
Coefficient of variation (CV)30.88639308
Kurtosis12258.19282
Mean2.284050337
Median Absolute Deviation (MAD)0
Skewness100.8646974
Sum168250
Variance4976.748914
MonotonicityNot monotonic
2024-03-09T21:12:16.505849image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60421
82.0%
1 6624
 
9.0%
2 2193
 
3.0%
3 1062
 
1.4%
4 574
 
0.8%
5 427
 
0.6%
6 295
 
0.4%
7 220
 
0.3%
8 181
 
0.2%
9 143
 
0.2%
Other values (223) 1523
 
2.1%
ValueCountFrequency (%)
0 60421
82.0%
1 6624
 
9.0%
2 2193
 
3.0%
3 1062
 
1.4%
4 574
 
0.8%
ValueCountFrequency (%)
10286 1
< 0.1%
8482 1
< 0.1%
8128 1
< 0.1%
5946 1
< 0.1%
3612 1
< 0.1%

V172
Real number (ℝ)

SKEWED  ZEROS 

Distinct311
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.222133228
Minimum0
Maximum15715
Zeros54588
Zeros (%)74.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:16.748736image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum15715
Range15715
Interquartile range (IQR)1

Descriptive statistics

Standard deviation114.8347204
Coefficient of variation (CV)27.19827021
Kurtosis10117.57184
Mean4.222133228
Median Absolute Deviation (MAD)0
Skewness90.35877581
Sum311015
Variance13187.01301
MonotonicityNot monotonic
2024-03-09T21:12:17.039186image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54588
74.1%
1 8508
 
11.5%
2 3293
 
4.5%
3 1682
 
2.3%
4 1003
 
1.4%
5 694
 
0.9%
6 469
 
0.6%
7 406
 
0.6%
8 282
 
0.4%
9 218
 
0.3%
Other values (301) 2520
 
3.4%
ValueCountFrequency (%)
0 54588
74.1%
1 8508
 
11.5%
2 3293
 
4.5%
3 1682
 
2.3%
4 1003
 
1.4%
ValueCountFrequency (%)
15715 1
< 0.1%
13224 1
< 0.1%
12759 1
< 0.1%
9106 1
< 0.1%
6600 1
< 0.1%

V173
Real number (ℝ)

SKEWED  ZEROS 

Distinct43
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05841467222
Minimum0
Maximum487
Zeros72992
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:17.287898image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum487
Range487
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.075011904
Coefficient of variation (CV)52.64108806
Kurtosis20801.06308
Mean0.05841467222
Median Absolute Deviation (MAD)0
Skewness138.8843032
Sum4303
Variance9.455698212
MonotonicityNot monotonic
2024-03-09T21:12:17.561290image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 72992
99.1%
1 334
 
0.5%
2 81
 
0.1%
3 59
 
0.1%
4 34
 
< 0.1%
5 33
 
< 0.1%
7 21
 
< 0.1%
6 18
 
< 0.1%
9 11
 
< 0.1%
8 10
 
< 0.1%
Other values (33) 70
 
0.1%
ValueCountFrequency (%)
0 72992
99.1%
1 334
 
0.5%
2 81
 
0.1%
3 59
 
0.1%
4 34
 
< 0.1%
ValueCountFrequency (%)
487 1
< 0.1%
471 1
< 0.1%
421 1
< 0.1%
93 1
< 0.1%
87 1
< 0.1%

V174
Real number (ℝ)

SKEWED  ZEROS 

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.101434913
Minimum0
Maximum2423
Zeros72282
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:17.800797image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2423
Range2423
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.98362407
Coefficient of variation (CV)98.4239427
Kurtosis48238.06968
Mean0.101434913
Median Absolute Deviation (MAD)0
Skewness208.5127246
Sum7472
Variance99.67274956
MonotonicityNot monotonic
2024-03-09T21:12:18.032953image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 72282
98.1%
1 853
 
1.2%
2 262
 
0.4%
3 122
 
0.2%
4 54
 
0.1%
5 26
 
< 0.1%
7 15
 
< 0.1%
6 14
 
< 0.1%
10 7
 
< 0.1%
8 6
 
< 0.1%
Other values (16) 22
 
< 0.1%
ValueCountFrequency (%)
0 72282
98.1%
1 853
 
1.2%
2 262
 
0.4%
3 122
 
0.2%
4 54
 
0.1%
ValueCountFrequency (%)
2423 1
< 0.1%
895 1
< 0.1%
644 1
< 0.1%
343 1
< 0.1%
323 1
< 0.1%

V175
Real number (ℝ)

SKEWED  ZEROS 

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006543312111
Minimum0
Maximum36
Zeros73469
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:18.237228image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum36
Range36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2441475417
Coefficient of variation (CV)37.31253187
Kurtosis9607.209948
Mean0.006543312111
Median Absolute Deviation (MAD)0
Skewness84.99724525
Sum482
Variance0.0596080221
MonotonicityNot monotonic
2024-03-09T21:12:18.465583image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 73469
99.7%
1 136
 
0.2%
2 14
 
< 0.1%
3 12
 
< 0.1%
4 8
 
< 0.1%
6 6
 
< 0.1%
5 4
 
< 0.1%
9 4
 
< 0.1%
8 2
 
< 0.1%
7 2
 
< 0.1%
Other values (5) 6
 
< 0.1%
ValueCountFrequency (%)
0 73469
99.7%
1 136
 
0.2%
2 14
 
< 0.1%
3 12
 
< 0.1%
4 8
 
< 0.1%
ValueCountFrequency (%)
36 1
< 0.1%
23 2
< 0.1%
20 1
< 0.1%
15 1
< 0.1%
11 1
< 0.1%

V176
Real number (ℝ)

SKEWED  ZEROS 

Distinct554
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.99018503
Minimum0
Maximum6305
Zeros11331
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:18.718451image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median9
Q324
95-th percentile87
Maximum6305
Range6305
Interquartile range (IQR)21

Descriptive statistics

Standard deviation82.39001206
Coefficient of variation (CV)3.434321659
Kurtosis2168.184904
Mean23.99018503
Median Absolute Deviation (MAD)8
Skewness37.36073139
Sum1767189
Variance6788.114087
MonotonicityNot monotonic
2024-03-09T21:12:18.988948image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11331
 
15.4%
4 3478
 
4.7%
5 3351
 
4.5%
6 3208
 
4.4%
3 3123
 
4.2%
7 2938
 
4.0%
8 2818
 
3.8%
2 2698
 
3.7%
9 2520
 
3.4%
10 2310
 
3.1%
Other values (544) 35888
48.7%
ValueCountFrequency (%)
0 11331
15.4%
1 2023
 
2.7%
2 2698
 
3.7%
3 3123
 
4.2%
4 3478
 
4.7%
ValueCountFrequency (%)
6305 1
< 0.1%
5712 1
< 0.1%
5451 1
< 0.1%
5419 1
< 0.1%
5134 2
< 0.1%

V177
Real number (ℝ)

SKEWED  ZEROS 

Distinct616
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.83189661
Minimum0
Maximum11350
Zeros11248
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:19.972443image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median10
Q327
95-th percentile111
Maximum11350
Range11350
Interquartile range (IQR)23

Descriptive statistics

Standard deviation107.2749677
Coefficient of variation (CV)3.720704509
Kurtosis3924.714492
Mean28.83189661
Median Absolute Deviation (MAD)9
Skewness48.99266944
Sum2123844
Variance11507.9187
MonotonicityNot monotonic
2024-03-09T21:12:20.224636image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11248
 
15.3%
5 3273
 
4.4%
4 3251
 
4.4%
6 3049
 
4.1%
7 2992
 
4.1%
3 2863
 
3.9%
8 2721
 
3.7%
9 2433
 
3.3%
2 2263
 
3.1%
10 2242
 
3.0%
Other values (606) 37328
50.7%
ValueCountFrequency (%)
0 11248
15.3%
1 1540
 
2.1%
2 2263
 
3.1%
3 2863
 
3.9%
4 3251
 
4.4%
ValueCountFrequency (%)
11350 1
< 0.1%
9797 1
< 0.1%
9105 1
< 0.1%
6532 1
< 0.1%
5807 1
< 0.1%

V178
Real number (ℝ)

SKEWED  ZEROS 

Distinct910
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.82208164
Minimum0
Maximum17655
Zeros10300
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:20.464393image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median19
Q350
95-th percentile197
Maximum17655
Range17655
Interquartile range (IQR)42

Descriptive statistics

Standard deviation187.9542556
Coefficient of variation (CV)3.558251582
Kurtosis2932.744327
Mean52.82208164
Median Absolute Deviation (MAD)15
Skewness42.74680765
Sum3891033
Variance35326.80218
MonotonicityNot monotonic
2024-03-09T21:12:20.748485image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10300
 
14.0%
10 1879
 
2.6%
12 1839
 
2.5%
9 1814
 
2.5%
7 1761
 
2.4%
11 1755
 
2.4%
8 1715
 
2.3%
13 1634
 
2.2%
14 1583
 
2.1%
15 1555
 
2.1%
Other values (900) 47828
64.9%
ValueCountFrequency (%)
0 10300
14.0%
1 399
 
0.5%
2 600
 
0.8%
3 818
 
1.1%
4 1161
 
1.6%
ValueCountFrequency (%)
17655 1
< 0.1%
15509 1
< 0.1%
14556 1
< 0.1%
11226 1
< 0.1%
10591 1
< 0.1%

V179
Real number (ℝ)

SKEWED  ZEROS 

Distinct118
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4168578527
Minimum0
Maximum623
Zeros69551
Zeros (%)94.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:21.019565image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum623
Range623
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.970127988
Coefficient of variation (CV)14.3217357
Kurtosis4425.457469
Mean0.4168578527
Median Absolute Deviation (MAD)0
Skewness53.87815274
Sum30707
Variance35.6424282
MonotonicityNot monotonic
2024-03-09T21:12:21.288223image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69551
94.4%
1 1959
 
2.7%
2 603
 
0.8%
3 296
 
0.4%
4 186
 
0.3%
5 135
 
0.2%
6 95
 
0.1%
7 89
 
0.1%
8 70
 
0.1%
9 63
 
0.1%
Other values (108) 616
 
0.8%
ValueCountFrequency (%)
0 69551
94.4%
1 1959
 
2.7%
2 603
 
0.8%
3 296
 
0.4%
4 186
 
0.3%
ValueCountFrequency (%)
623 1
< 0.1%
599 1
< 0.1%
496 1
< 0.1%
430 1
< 0.1%
402 1
< 0.1%

V180
Real number (ℝ)

SKEWED  ZEROS 

Distinct168
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.791333505
Minimum0
Maximum2553
Zeros67010
Zeros (%)91.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:21.560844image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10
Maximum2553
Range2553
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.04622667
Coefficient of variation (CV)7.8412125
Kurtosis15225.09617
Mean1.791333505
Median Absolute Deviation (MAD)0
Skewness91.38215602
Sum131955
Variance197.2964838
MonotonicityNot monotonic
2024-03-09T21:12:21.843789image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67010
91.0%
1 743
 
1.0%
2 429
 
0.6%
3 281
 
0.4%
4 253
 
0.3%
5 233
 
0.3%
6 233
 
0.3%
10 229
 
0.3%
12 209
 
0.3%
9 209
 
0.3%
Other values (158) 3834
 
5.2%
ValueCountFrequency (%)
0 67010
91.0%
1 743
 
1.0%
2 429
 
0.6%
3 281
 
0.4%
4 253
 
0.3%
ValueCountFrequency (%)
2553 1
< 0.1%
965 1
< 0.1%
723 1
< 0.1%
462 1
< 0.1%
347 1
< 0.1%

V181
Real number (ℝ)

SKEWED  ZEROS 

Distinct65
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3575607836
Minimum0
Maximum232
Zeros65199
Zeros (%)88.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:22.094915image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum232
Range232
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.480581385
Coefficient of variation (CV)6.937509646
Kurtosis3048.26521
Mean0.3575607836
Median Absolute Deviation (MAD)0
Skewness41.07016166
Sum26339
Variance6.153284007
MonotonicityNot monotonic
2024-03-09T21:12:22.422138image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65199
88.5%
1 4173
 
5.7%
2 1669
 
2.3%
3 847
 
1.1%
4 510
 
0.7%
5 311
 
0.4%
6 235
 
0.3%
7 123
 
0.2%
8 94
 
0.1%
9 67
 
0.1%
Other values (55) 435
 
0.6%
ValueCountFrequency (%)
0 65199
88.5%
1 4173
 
5.7%
2 1669
 
2.3%
3 847
 
1.1%
4 510
 
0.7%
ValueCountFrequency (%)
232 1
< 0.1%
225 1
< 0.1%
220 1
< 0.1%
106 1
< 0.1%
101 1
< 0.1%

V182
Real number (ℝ)

SKEWED  ZEROS 

Distinct843
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.34228853
Minimum0
Maximum10955
Zeros28796
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:22.682465image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q335
95-th percentile195
Maximum10955
Range10955
Interquartile range (IQR)35

Descriptive statistics

Standard deviation130.3226578
Coefficient of variation (CV)3.15228456
Kurtosis1387.603429
Mean41.34228853
Median Absolute Deviation (MAD)8
Skewness26.10209218
Sum3045397
Variance16983.99513
MonotonicityNot monotonic
2024-03-09T21:12:22.955605image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28796
39.1%
1 1313
 
1.8%
2 1210
 
1.6%
3 1059
 
1.4%
5 1009
 
1.4%
10 984
 
1.3%
4 981
 
1.3%
12 925
 
1.3%
15 922
 
1.3%
7 889
 
1.2%
Other values (833) 35575
48.3%
ValueCountFrequency (%)
0 28796
39.1%
1 1313
 
1.8%
2 1210
 
1.6%
3 1059
 
1.4%
4 981
 
1.3%
ValueCountFrequency (%)
10955 1
< 0.1%
8304 1
< 0.1%
6012 1
< 0.1%
5723 1
< 0.1%
5690 1
< 0.1%

V183
Real number (ℝ)

SKEWED  ZEROS 

Distinct996
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.45329406
Minimum0
Maximum12701
Zeros28469
Zeros (%)38.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:23.174804image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q338
95-th percentile235
Maximum12701
Range12701
Interquartile range (IQR)38

Descriptive statistics

Standard deviation150.5424442
Coefficient of variation (CV)3.106959952
Kurtosis1137.533002
Mean48.45329406
Median Absolute Deviation (MAD)10
Skewness22.37729072
Sum3569215
Variance22663.02749
MonotonicityNot monotonic
2024-03-09T21:12:23.495333image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28469
38.6%
2 1043
 
1.4%
1 1019
 
1.4%
10 931
 
1.3%
3 926
 
1.3%
15 919
 
1.2%
12 905
 
1.2%
5 889
 
1.2%
16 879
 
1.2%
19 856
 
1.2%
Other values (986) 36827
50.0%
ValueCountFrequency (%)
0 28469
38.6%
1 1019
 
1.4%
2 1043
 
1.4%
3 926
 
1.3%
4 854
 
1.2%
ValueCountFrequency (%)
12701 1
< 0.1%
7970 1
< 0.1%
6092 1
< 0.1%
5854 1
< 0.1%
5834 1
< 0.1%

V184
Real number (ℝ)

SKEWED  ZEROS 

Distinct1491
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.79558259
Minimum0
Maximum23656
Zeros27995
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:23.830426image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median19
Q373
95-th percentile429.9
Maximum23656
Range23656
Interquartile range (IQR)73

Descriptive statistics

Standard deviation279.4919564
Coefficient of variation (CV)3.112535699
Kurtosis1260.467121
Mean89.79558259
Median Absolute Deviation (MAD)19
Skewness24.17265173
Sum6614612
Variance78115.75368
MonotonicityNot monotonic
2024-03-09T21:12:24.093267image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27995
38.0%
2 622
 
0.8%
3 555
 
0.8%
6 544
 
0.7%
5 540
 
0.7%
4 536
 
0.7%
1 511
 
0.7%
32 502
 
0.7%
30 497
 
0.7%
10 496
 
0.7%
Other values (1481) 40865
55.5%
ValueCountFrequency (%)
0 27995
38.0%
1 511
 
0.7%
2 622
 
0.8%
3 555
 
0.8%
4 536
 
0.7%
ValueCountFrequency (%)
23656 1
< 0.1%
16274 1
< 0.1%
11782 1
< 0.1%
11743 1
< 0.1%
11557 1
< 0.1%

V185
Real number (ℝ)

ZEROS 

Distinct188
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.238925919
Minimum0
Maximum478
Zeros64802
Zeros (%)88.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:24.347258image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum478
Range478
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.657536963
Coefficient of variation (CV)7.79508832
Kurtosis542.1447704
Mean1.238925919
Median Absolute Deviation (MAD)0
Skewness18.95233624
Sum91263
Variance93.2680202
MonotonicityNot monotonic
2024-03-09T21:12:24.650162image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64802
88.0%
1 3443
 
4.7%
2 1404
 
1.9%
3 745
 
1.0%
4 469
 
0.6%
5 286
 
0.4%
6 253
 
0.3%
7 176
 
0.2%
8 157
 
0.2%
9 120
 
0.2%
Other values (178) 1808
 
2.5%
ValueCountFrequency (%)
0 64802
88.0%
1 3443
 
4.7%
2 1404
 
1.9%
3 745
 
1.0%
4 469
 
0.6%
ValueCountFrequency (%)
478 1
< 0.1%
445 1
< 0.1%
432 1
< 0.1%
428 1
< 0.1%
404 1
< 0.1%

V186
Real number (ℝ)

ZEROS 

Distinct349
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.477566757
Minimum0
Maximum834
Zeros67294
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:24.938972image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile23
Maximum834
Range834
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.90124795
Coefficient of variation (CV)5.561334829
Kurtosis159.5934915
Mean4.477566757
Median Absolute Deviation (MAD)0
Skewness10.29098476
Sum329831
Variance620.0721495
MonotonicityNot monotonic
2024-03-09T21:12:25.206722image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67294
91.4%
1 695
 
0.9%
2 346
 
0.5%
3 197
 
0.3%
4 149
 
0.2%
5 120
 
0.2%
6 119
 
0.2%
8 97
 
0.1%
7 96
 
0.1%
10 77
 
0.1%
Other values (339) 4473
 
6.1%
ValueCountFrequency (%)
0 67294
91.4%
1 695
 
0.9%
2 346
 
0.5%
3 197
 
0.3%
4 149
 
0.2%
ValueCountFrequency (%)
834 1
< 0.1%
817 1
< 0.1%
771 1
< 0.1%
577 1
< 0.1%
571 1
< 0.1%

V187
Real number (ℝ)

SKEWED  ZEROS 

Distinct94
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.643674572
Minimum0
Maximum704
Zeros64125
Zeros (%)87.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:25.462331image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum704
Range704
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.158674142
Coefficient of variation (CV)8.014413441
Kurtosis7615.424385
Mean0.643674572
Median Absolute Deviation (MAD)0
Skewness68.03574524
Sum47415
Variance26.6119189
MonotonicityNot monotonic
2024-03-09T21:12:25.734326image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64125
87.1%
1 3454
 
4.7%
2 1749
 
2.4%
3 1053
 
1.4%
4 660
 
0.9%
5 519
 
0.7%
6 375
 
0.5%
7 276
 
0.4%
8 201
 
0.3%
9 167
 
0.2%
Other values (84) 1084
 
1.5%
ValueCountFrequency (%)
0 64125
87.1%
1 3454
 
4.7%
2 1749
 
2.4%
3 1053
 
1.4%
4 660
 
0.9%
ValueCountFrequency (%)
704 1
< 0.1%
577 1
< 0.1%
415 1
< 0.1%
292 1
< 0.1%
212 1
< 0.1%

V188
Real number (ℝ)

SKEWED  ZEROS 

Distinct683
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.38175203
Minimum0
Maximum60844
Zeros46595
Zeros (%)63.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:25.998578image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37
95-th percentile82
Maximum60844
Range60844
Interquartile range (IQR)7

Descriptive statistics

Standard deviation406.224001
Coefficient of variation (CV)18.99863025
Kurtosis18828.18572
Mean21.38175203
Median Absolute Deviation (MAD)0
Skewness130.8125041
Sum1575044
Variance165017.939
MonotonicityNot monotonic
2024-03-09T21:12:26.265963image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46595
63.3%
1 3020
 
4.1%
2 1710
 
2.3%
3 1246
 
1.7%
4 902
 
1.2%
5 769
 
1.0%
6 687
 
0.9%
7 588
 
0.8%
8 584
 
0.8%
9 568
 
0.8%
Other values (673) 16994
 
23.1%
ValueCountFrequency (%)
0 46595
63.3%
1 3020
 
4.1%
2 1710
 
2.3%
3 1246
 
1.7%
4 902
 
1.2%
ValueCountFrequency (%)
60844 1
< 0.1%
58802 1
< 0.1%
58756 1
< 0.1%
20999 1
< 0.1%
12486 1
< 0.1%

V189
Real number (ℝ)

SKEWED  ZEROS 

Distinct728
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.98262357
Minimum0
Maximum117923
Zeros46970
Zeros (%)63.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:26.522779image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile86
Maximum117923
Range117923
Interquartile range (IQR)6

Descriptive statistics

Standard deviation674.65942
Coefficient of variation (CV)28.13117664
Kurtosis23220.61659
Mean23.98262357
Median Absolute Deviation (MAD)0
Skewness148.2728226
Sum1766632
Variance455165.333
MonotonicityNot monotonic
2024-03-09T21:12:26.790083image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46970
63.8%
1 3192
 
4.3%
2 1747
 
2.4%
3 1234
 
1.7%
4 925
 
1.3%
5 751
 
1.0%
6 697
 
0.9%
7 606
 
0.8%
8 600
 
0.8%
10 537
 
0.7%
Other values (718) 16404
 
22.3%
ValueCountFrequency (%)
0 46970
63.8%
1 3192
 
4.3%
2 1747
 
2.4%
3 1234
 
1.7%
4 925
 
1.3%
ValueCountFrequency (%)
117923 1
< 0.1%
96181 1
< 0.1%
93211 1
< 0.1%
21224 1
< 0.1%
13717 1
< 0.1%

V190
Real number (ℝ)

SKEWED  ZEROS 

Distinct1067
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.3643756
Minimum0
Maximum178767
Zeros44436
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:27.059910image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q314
95-th percentile167
Maximum178767
Range178767
Interquartile range (IQR)14

Descriptive statistics

Standard deviation1077.141353
Coefficient of variation (CV)23.74421203
Kurtosis21512.84191
Mean45.3643756
Median Absolute Deviation (MAD)0
Skewness141.8834465
Sum3341676
Variance1160233.494
MonotonicityNot monotonic
2024-03-09T21:12:27.312772image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44436
60.3%
1 2817
 
3.8%
2 1669
 
2.3%
3 1112
 
1.5%
4 884
 
1.2%
5 728
 
1.0%
6 586
 
0.8%
7 526
 
0.7%
8 454
 
0.6%
10 400
 
0.5%
Other values (1057) 20051
27.2%
ValueCountFrequency (%)
0 44436
60.3%
1 2817
 
3.8%
2 1669
 
2.3%
3 1112
 
1.5%
4 884
 
1.2%
ValueCountFrequency (%)
178767 1
< 0.1%
154983 1
< 0.1%
151967 1
< 0.1%
42223 1
< 0.1%
26203 1
< 0.1%

V191
Real number (ℝ)

SKEWED  ZEROS 

Distinct120
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6562317581
Minimum0
Maximum6692
Zeros70836
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:27.586644image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6692
Range6692
Interquartile range (IQR)0

Descriptive statistics

Standard deviation41.64116193
Coefficient of variation (CV)63.454963
Kurtosis23773.27039
Mean0.6562317581
Median Absolute Deviation (MAD)0
Skewness152.8614648
Sum48340
Variance1733.986367
MonotonicityNot monotonic
2024-03-09T21:12:27.900508image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70836
96.2%
1 1039
 
1.4%
2 416
 
0.6%
3 217
 
0.3%
4 136
 
0.2%
5 102
 
0.1%
6 87
 
0.1%
8 64
 
0.1%
7 61
 
0.1%
9 57
 
0.1%
Other values (110) 648
 
0.9%
ValueCountFrequency (%)
0 70836
96.2%
1 1039
 
1.4%
2 416
 
0.6%
3 217
 
0.3%
4 136
 
0.2%
ValueCountFrequency (%)
6692 1
< 0.1%
6464 1
< 0.1%
6240 1
< 0.1%
564 1
< 0.1%
412 1
< 0.1%

V192
Real number (ℝ)

SKEWED  ZEROS 

Distinct80
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.41392558
Minimum0
Maximum8902
Zeros72270
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:28.167892image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8902
Range8902
Interquartile range (IQR)0

Descriptive statistics

Standard deviation41.76347484
Coefficient of variation (CV)100.8960955
Kurtosis33137.28342
Mean0.41392558
Median Absolute Deviation (MAD)0
Skewness175.1200077
Sum30491
Variance1744.187831
MonotonicityNot monotonic
2024-03-09T21:12:28.438719image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72270
98.1%
1 481
 
0.7%
2 243
 
0.3%
3 133
 
0.2%
4 93
 
0.1%
5 59
 
0.1%
6 52
 
0.1%
8 33
 
< 0.1%
7 28
 
< 0.1%
9 20
 
< 0.1%
Other values (70) 251
 
0.3%
ValueCountFrequency (%)
0 72270
98.1%
1 481
 
0.7%
2 243
 
0.3%
3 133
 
0.2%
4 93
 
0.1%
ValueCountFrequency (%)
8902 1
< 0.1%
5166 1
< 0.1%
4564 1
< 0.1%
1105 1
< 0.1%
273 1
< 0.1%

V193
Real number (ℝ)

SKEWED  ZEROS 

Distinct103
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5154962464
Minimum0
Maximum757
Zeros66677
Zeros (%)90.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:28.708680image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum757
Range757
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.70551432
Coefficient of variation (CV)9.128125283
Kurtosis9426.013908
Mean0.5154962464
Median Absolute Deviation (MAD)0
Skewness68.56940413
Sum37973
Variance22.14186502
MonotonicityNot monotonic
2024-03-09T21:12:29.005711image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66677
90.5%
1 2576
 
3.5%
2 1300
 
1.8%
3 753
 
1.0%
4 457
 
0.6%
5 298
 
0.4%
6 251
 
0.3%
7 191
 
0.3%
8 151
 
0.2%
9 130
 
0.2%
Other values (93) 879
 
1.2%
ValueCountFrequency (%)
0 66677
90.5%
1 2576
 
3.5%
2 1300
 
1.8%
3 753
 
1.0%
4 457
 
0.6%
ValueCountFrequency (%)
757 1
< 0.1%
233 1
< 0.1%
208 1
< 0.1%
191 1
< 0.1%
177 1
< 0.1%

V194
Real number (ℝ)

SKEWED  ZEROS 

Distinct1062
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.72404056
Minimum0
Maximum60844
Zeros23548
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:29.263930image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median20
Q355
95-th percentile246
Maximum60844
Range60844
Interquartile range (IQR)55

Descriptive statistics

Standard deviation431.9573935
Coefficient of variation (CV)6.886632136
Kurtosis14727.16976
Mean62.72404056
Median Absolute Deviation (MAD)20
Skewness110.008573
Sum4620441
Variance186587.1898
MonotonicityNot monotonic
2024-03-09T21:12:29.522308image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23548
32.0%
17 954
 
1.3%
15 940
 
1.3%
14 928
 
1.3%
20 924
 
1.3%
19 923
 
1.3%
21 914
 
1.2%
16 909
 
1.2%
12 895
 
1.2%
23 880
 
1.2%
Other values (1052) 41848
56.8%
ValueCountFrequency (%)
0 23548
32.0%
1 189
 
0.3%
2 256
 
0.3%
3 351
 
0.5%
4 402
 
0.5%
ValueCountFrequency (%)
60844 1
< 0.1%
58802 1
< 0.1%
58756 1
< 0.1%
22078 1
< 0.1%
14186 1
< 0.1%

V195
Real number (ℝ)

SKEWED  ZEROS 

Distinct1199
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.43591762
Minimum0
Maximum117923
Zeros23612
Zeros (%)32.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:29.788566image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median20
Q358
95-th percentile296
Maximum117923
Range117923
Interquartile range (IQR)58

Descriptive statistics

Standard deviation695.0676538
Coefficient of variation (CV)9.595621573
Kurtosis20580.59342
Mean72.43591762
Median Absolute Deviation (MAD)20
Skewness135.8162684
Sum5335847
Variance483119.0434
MonotonicityNot monotonic
2024-03-09T21:12:30.834563image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23612
32.1%
19 964
 
1.3%
15 942
 
1.3%
16 942
 
1.3%
17 935
 
1.3%
13 928
 
1.3%
18 892
 
1.2%
22 892
 
1.2%
20 866
 
1.2%
23 846
 
1.1%
Other values (1189) 41844
56.8%
ValueCountFrequency (%)
0 23612
32.1%
1 176
 
0.2%
2 277
 
0.4%
3 344
 
0.5%
4 335
 
0.5%
ValueCountFrequency (%)
117923 1
< 0.1%
96181 1
< 0.1%
93211 1
< 0.1%
22497 1
< 0.1%
13717 1
< 0.1%

V196
Real number (ℝ)

SKEWED  ZEROS 

Distinct1788
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.1599582
Minimum0
Maximum178767
Zeros23388
Zeros (%)31.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:31.090035image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median40
Q3114
95-th percentile542
Maximum178767
Range178767
Interquartile range (IQR)114

Descriptive statistics

Standard deviation1121.628642
Coefficient of variation (CV)8.298527591
Kurtosis18273.04125
Mean135.1599582
Median Absolute Deviation (MAD)40
Skewness126.1676388
Sum9956288
Variance1258050.811
MonotonicityNot monotonic
2024-03-09T21:12:31.423191image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23388
31.7%
36 536
 
0.7%
31 532
 
0.7%
32 527
 
0.7%
37 519
 
0.7%
30 484
 
0.7%
29 482
 
0.7%
39 479
 
0.7%
35 478
 
0.6%
33 476
 
0.6%
Other values (1778) 45762
62.1%
ValueCountFrequency (%)
0 23388
31.7%
1 51
 
0.1%
2 59
 
0.1%
3 110
 
0.1%
4 114
 
0.2%
ValueCountFrequency (%)
178767 1
< 0.1%
154983 1
< 0.1%
151967 1
< 0.1%
44575 1
< 0.1%
27509 1
< 0.1%

V197
Real number (ℝ)

SKEWED  ZEROS 

Distinct230
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.895157678
Minimum0
Maximum6692
Zeros63470
Zeros (%)86.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:31.755785image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum6692
Range6692
Interquartile range (IQR)0

Descriptive statistics

Standard deviation43.03296598
Coefficient of variation (CV)22.7067998
Kurtosis20829.77659
Mean1.895157678
Median Absolute Deviation (MAD)0
Skewness138.7410693
Sum139603
Variance1851.836161
MonotonicityNot monotonic
2024-03-09T21:12:32.073767image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63470
86.2%
1 3882
 
5.3%
2 1611
 
2.2%
3 845
 
1.1%
4 522
 
0.7%
5 336
 
0.5%
6 291
 
0.4%
7 187
 
0.3%
8 173
 
0.2%
9 149
 
0.2%
Other values (220) 2197
 
3.0%
ValueCountFrequency (%)
0 63470
86.2%
1 3882
 
5.3%
2 1611
 
2.2%
3 845
 
1.1%
4 522
 
0.7%
ValueCountFrequency (%)
6692 1
< 0.1%
6464 1
< 0.1%
6240 1
< 0.1%
624 1
< 0.1%
564 1
< 0.1%

V198
Real number (ℝ)

SKEWED  ZEROS 

Distinct352
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.891492337
Minimum0
Maximum8902
Zeros66929
Zeros (%)90.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:32.457963image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile25
Maximum8902
Range8902
Interquartile range (IQR)0

Descriptive statistics

Standard deviation48.81055277
Coefficient of variation (CV)9.978662832
Kurtosis17730.62848
Mean4.891492337
Median Absolute Deviation (MAD)0
Skewness110.9411456
Sum360322
Variance2382.470062
MonotonicityNot monotonic
2024-03-09T21:12:32.840323image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66929
90.9%
1 778
 
1.1%
2 390
 
0.5%
3 225
 
0.3%
4 171
 
0.2%
6 132
 
0.2%
5 126
 
0.2%
7 106
 
0.1%
8 102
 
0.1%
9 92
 
0.1%
Other values (342) 4612
 
6.3%
ValueCountFrequency (%)
0 66929
90.9%
1 778
 
1.1%
2 390
 
0.5%
3 225
 
0.3%
4 171
 
0.2%
ValueCountFrequency (%)
8902 1
< 0.1%
5166 1
< 0.1%
4564 1
< 0.1%
1105 1
< 0.1%
834 1
< 0.1%

V199
Real number (ℝ)

SKEWED  ZEROS 

Distinct133
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.159170818
Minimum0
Maximum757
Zeros59744
Zeros (%)81.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:33.267835image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum757
Range757
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.523778495
Coefficient of variation (CV)6.49065554
Kurtosis3388.474947
Mean1.159170818
Median Absolute Deviation (MAD)0
Skewness43.88465176
Sum85388
Variance56.60724284
MonotonicityNot monotonic
2024-03-09T21:12:33.645897image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59744
81.1%
1 4264
 
5.8%
2 2524
 
3.4%
3 1590
 
2.2%
4 1029
 
1.4%
5 749
 
1.0%
6 638
 
0.9%
7 433
 
0.6%
8 378
 
0.5%
9 276
 
0.4%
Other values (123) 2038
 
2.8%
ValueCountFrequency (%)
0 59744
81.1%
1 4264
 
5.8%
2 2524
 
3.4%
3 1590
 
2.2%
4 1029
 
1.4%
ValueCountFrequency (%)
757 1
< 0.1%
704 1
< 0.1%
595 1
< 0.1%
478 1
< 0.1%
347 1
< 0.1%

V200
Real number (ℝ)

SKEWED  ZEROS 

Distinct809
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.48812837
Minimum0
Maximum10955
Zeros41096
Zeros (%)55.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:34.046525image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q329
95-th percentile179
Maximum10955
Range10955
Interquartile range (IQR)29

Descriptive statistics

Standard deviation123.0992465
Coefficient of variation (CV)3.4687444
Kurtosis1661.079075
Mean35.48812837
Median Absolute Deviation (MAD)0
Skewness28.55565199
Sum2614162
Variance15153.4245
MonotonicityNot monotonic
2024-03-09T21:12:34.355532image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41096
55.8%
20 677
 
0.9%
15 664
 
0.9%
16 657
 
0.9%
12 641
 
0.9%
14 633
 
0.9%
13 627
 
0.9%
17 618
 
0.8%
19 600
 
0.8%
21 598
 
0.8%
Other values (799) 26852
36.5%
ValueCountFrequency (%)
0 41096
55.8%
1 249
 
0.3%
2 255
 
0.3%
3 211
 
0.3%
4 256
 
0.3%
ValueCountFrequency (%)
10955 1
< 0.1%
8304 1
< 0.1%
6006 1
< 0.1%
5702 1
< 0.1%
5682 1
< 0.1%

V201
Real number (ℝ)

SKEWED  ZEROS 

Distinct957
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.28729484
Minimum0
Maximum12701
Zeros41079
Zeros (%)55.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:34.605652image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q330
95-th percentile214
Maximum12701
Range12701
Interquartile range (IQR)30

Descriptive statistics

Standard deviation141.4385774
Coefficient of variation (CV)3.425716748
Kurtosis1380.643611
Mean41.28729484
Median Absolute Deviation (MAD)0
Skewness24.484269
Sum3041346
Variance20004.87118
MonotonicityNot monotonic
2024-03-09T21:12:34.988123image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41079
55.8%
19 693
 
0.9%
16 688
 
0.9%
15 655
 
0.9%
18 647
 
0.9%
22 617
 
0.8%
17 615
 
0.8%
21 595
 
0.8%
20 595
 
0.8%
14 594
 
0.8%
Other values (947) 26885
36.5%
ValueCountFrequency (%)
0 41079
55.8%
1 205
 
0.3%
2 209
 
0.3%
3 186
 
0.3%
4 197
 
0.3%
ValueCountFrequency (%)
12701 1
< 0.1%
7970 1
< 0.1%
6084 1
< 0.1%
5849 1
< 0.1%
5805 1
< 0.1%

V202
Real number (ℝ)

SKEWED  ZEROS 

Distinct1439
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.77542321
Minimum0
Maximum23656
Zeros40953
Zeros (%)55.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:35.289169image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q359
95-th percentile393
Maximum23656
Range23656
Interquartile range (IQR)59

Descriptive statistics

Standard deviation263.270276
Coefficient of variation (CV)3.429095731
Kurtosis1519.454448
Mean76.77542321
Median Absolute Deviation (MAD)0
Skewness26.44512508
Sum5655508
Variance69311.23822
MonotonicityNot monotonic
2024-03-09T21:12:35.566730image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40953
55.6%
32 375
 
0.5%
31 370
 
0.5%
35 359
 
0.5%
34 352
 
0.5%
38 350
 
0.5%
27 340
 
0.5%
30 338
 
0.5%
39 336
 
0.5%
33 333
 
0.5%
Other values (1429) 29557
40.1%
ValueCountFrequency (%)
0 40953
55.6%
1 124
 
0.2%
2 137
 
0.2%
3 102
 
0.1%
4 81
 
0.1%
ValueCountFrequency (%)
23656 1
< 0.1%
16274 1
< 0.1%
11766 1
< 0.1%
11726 1
< 0.1%
11507 1
< 0.1%

V203
Real number (ℝ)

SKEWED  ZEROS 

Distinct231
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.167994787
Minimum0
Maximum1180
Zeros71557
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:35.818062image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1180
Range1180
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.24161986
Coefficient of variation (CV)12.19322211
Kurtosis1302.998993
Mean1.167994787
Median Absolute Deviation (MAD)0
Skewness28.76811938
Sum86038
Variance202.8237363
MonotonicityNot monotonic
2024-03-09T21:12:36.097445image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71557
97.1%
1 72
 
0.1%
2 67
 
0.1%
12 66
 
0.1%
10 64
 
0.1%
3 63
 
0.1%
7 62
 
0.1%
8 62
 
0.1%
9 60
 
0.1%
5 59
 
0.1%
Other values (221) 1531
 
2.1%
ValueCountFrequency (%)
0 71557
97.1%
1 72
 
0.1%
2 67
 
0.1%
3 63
 
0.1%
4 57
 
0.1%
ValueCountFrequency (%)
1180 1
< 0.1%
751 1
< 0.1%
697 1
< 0.1%
640 1
< 0.1%
585 1
< 0.1%

V204
Real number (ℝ)

SKEWED  ZEROS 

Distinct254
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.329473413
Minimum0
Maximum1254
Zeros71514
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:36.395803image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1254
Range1254
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.4768668
Coefficient of variation (CV)12.39352863
Kurtosis1132.090243
Mean1.329473413
Median Absolute Deviation (MAD)0
Skewness27.66411962
Sum97933
Variance271.4871396
MonotonicityNot monotonic
2024-03-09T21:12:36.709031image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71514
97.1%
1 87
 
0.1%
17 70
 
0.1%
2 64
 
0.1%
8 63
 
0.1%
15 61
 
0.1%
11 61
 
0.1%
10 57
 
0.1%
18 57
 
0.1%
3 57
 
0.1%
Other values (244) 1572
 
2.1%
ValueCountFrequency (%)
0 71514
97.1%
1 87
 
0.1%
2 64
 
0.1%
3 57
 
0.1%
4 32
 
< 0.1%
ValueCountFrequency (%)
1254 1
< 0.1%
893 1
< 0.1%
783 1
< 0.1%
713 1
< 0.1%
712 1
< 0.1%

V205
Real number (ℝ)

SKEWED  ZEROS 

Distinct346
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4974682
Minimum0
Maximum2434
Zeros71473
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:37.100738image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2434
Range2434
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30.50861496
Coefficient of variation (CV)12.21581719
Kurtosis1189.754267
Mean2.4974682
Median Absolute Deviation (MAD)0
Skewness27.90011291
Sum183971
Variance930.7755868
MonotonicityNot monotonic
2024-03-09T21:12:37.440682image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71473
97.0%
1 51
 
0.1%
2 50
 
0.1%
32 42
 
0.1%
4 36
 
< 0.1%
3 36
 
< 0.1%
44 36
 
< 0.1%
13 35
 
< 0.1%
24 34
 
< 0.1%
20 34
 
< 0.1%
Other values (336) 1836
 
2.5%
ValueCountFrequency (%)
0 71473
97.0%
1 51
 
0.1%
2 50
 
0.1%
3 36
 
< 0.1%
4 36
 
< 0.1%
ValueCountFrequency (%)
2434 1
< 0.1%
1533 1
< 0.1%
1409 1
< 0.1%
1371 1
< 0.1%
1339 1
< 0.1%

V206
Real number (ℝ)

SKEWED  ZEROS 

Distinct84
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.209766097
Minimum0
Maximum232
Zeros72435
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:37.889466image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum232
Range232
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.088867515
Coefficient of variation (CV)14.72529432
Kurtosis1549.359018
Mean0.209766097
Median Absolute Deviation (MAD)0
Skewness32.33160573
Sum15452
Variance9.541102526
MonotonicityNot monotonic
2024-03-09T21:12:38.256956image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72435
98.3%
1 196
 
0.3%
2 149
 
0.2%
3 116
 
0.2%
4 77
 
0.1%
5 67
 
0.1%
6 59
 
0.1%
7 52
 
0.1%
10 50
 
0.1%
8 35
 
< 0.1%
Other values (74) 427
 
0.6%
ValueCountFrequency (%)
0 72435
98.3%
1 196
 
0.3%
2 149
 
0.2%
3 116
 
0.2%
4 77
 
0.1%
ValueCountFrequency (%)
232 1
< 0.1%
217 1
< 0.1%
184 1
< 0.1%
163 1
< 0.1%
149 1
< 0.1%

V207
Real number (ℝ)

SKEWED  ZEROS 

Distinct109
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2926027992
Minimum0
Maximum364
Zeros72360
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:38.583437image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum364
Range364
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.136122314
Coefficient of variation (CV)14.13562114
Kurtosis1700.099955
Mean0.2926027992
Median Absolute Deviation (MAD)0
Skewness32.07054936
Sum21554
Variance17.1075078
MonotonicityNot monotonic
2024-03-09T21:12:38.922656image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72360
98.2%
1 169
 
0.2%
2 134
 
0.2%
3 99
 
0.1%
4 88
 
0.1%
5 71
 
0.1%
6 54
 
0.1%
8 49
 
0.1%
10 47
 
0.1%
7 45
 
0.1%
Other values (99) 547
 
0.7%
ValueCountFrequency (%)
0 72360
98.2%
1 169
 
0.2%
2 134
 
0.2%
3 99
 
0.1%
4 88
 
0.1%
ValueCountFrequency (%)
364 1
< 0.1%
304 1
< 0.1%
184 1
< 0.1%
178 1
< 0.1%
177 1
< 0.1%

V208
Real number (ℝ)

SKEWED  ZEROS 

Distinct150
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5023688962
Minimum0
Maximum581
Zeros72279
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:39.274185image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum581
Range581
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.098280784
Coefficient of variation (CV)14.12961837
Kurtosis1618.527753
Mean0.5023688962
Median Absolute Deviation (MAD)0
Skewness31.92279741
Sum37006
Variance50.38559008
MonotonicityNot monotonic
2024-03-09T21:12:39.623048image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72279
98.1%
1 123
 
0.2%
2 102
 
0.1%
4 80
 
0.1%
3 78
 
0.1%
6 62
 
0.1%
5 62
 
0.1%
9 50
 
0.1%
7 48
 
0.1%
10 37
 
0.1%
Other values (140) 742
 
1.0%
ValueCountFrequency (%)
0 72279
98.1%
1 123
 
0.2%
2 102
 
0.1%
3 78
 
0.1%
4 80
 
0.1%
ValueCountFrequency (%)
581 1
< 0.1%
536 1
< 0.1%
357 1
< 0.1%
347 1
< 0.1%
295 1
< 0.1%

V209
Real number (ℝ)

SKEWED  ZEROS 

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009000447986
Minimum0
Maximum383
Zeros73640
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:39.958525image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum383
Range383
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.449619263
Coefficient of variation (CV)161.06079
Kurtosis66200.37476
Mean0.009000447986
Median Absolute Deviation (MAD)0
Skewness251.8959653
Sum663
Variance2.101396007
MonotonicityNot monotonic
2024-03-09T21:12:40.289619image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 73640
> 99.9%
5 4
 
< 0.1%
1 3
 
< 0.1%
10 3
 
< 0.1%
3 2
 
< 0.1%
7 2
 
< 0.1%
14 1
 
< 0.1%
29 1
 
< 0.1%
32 1
 
< 0.1%
16 1
 
< 0.1%
Other values (5) 5
 
< 0.1%
ValueCountFrequency (%)
0 73640
> 99.9%
1 3
 
< 0.1%
2 1
 
< 0.1%
3 2
 
< 0.1%
5 4
 
< 0.1%
ValueCountFrequency (%)
383 1
< 0.1%
61 1
< 0.1%
35 1
< 0.1%
32 1
< 0.1%
29 1
< 0.1%

V210
Real number (ℝ)

SKEWED  ZEROS 

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01115892646
Minimum0
Maximum473
Zeros73638
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:40.591390image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum473
Range473
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.804699846
Coefficient of variation (CV)161.7270131
Kurtosis64201.64788
Mean0.01115892646
Median Absolute Deviation (MAD)0
Skewness247.265192
Sum822
Variance3.256941535
MonotonicityNot monotonic
2024-03-09T21:12:40.906372image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 73638
> 99.9%
1 6
 
< 0.1%
3 4
 
< 0.1%
11 3
 
< 0.1%
12 2
 
< 0.1%
38 1
 
< 0.1%
40 1
 
< 0.1%
29 1
 
< 0.1%
473 1
 
< 0.1%
5 1
 
< 0.1%
Other values (5) 5
 
< 0.1%
ValueCountFrequency (%)
0 73638
> 99.9%
1 6
 
< 0.1%
3 4
 
< 0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
473 1
< 0.1%
102 1
< 0.1%
40 1
< 0.1%
38 1
< 0.1%
29 1
< 0.1%

V211
Real number (ℝ)

SKEWED  ZEROS 

Distinct20
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02015937445
Minimum0
Maximum856
Zeros73634
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:41.224143image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum856
Range856
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.251006914
Coefficient of variation (CV)161.2652676
Kurtosis65340.21696
Mean0.02015937445
Median Absolute Deviation (MAD)0
Skewness249.9446454
Sum1485
Variance10.56904596
MonotonicityNot monotonic
2024-03-09T21:12:41.579631image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 73634
> 99.9%
1 5
 
< 0.1%
8 3
 
< 0.1%
10 3
 
< 0.1%
21 2
 
< 0.1%
4 2
 
< 0.1%
12 1
 
< 0.1%
13 1
 
< 0.1%
163 1
 
< 0.1%
63 1
 
< 0.1%
Other values (10) 10
 
< 0.1%
ValueCountFrequency (%)
0 73634
> 99.9%
1 5
 
< 0.1%
2 1
 
< 0.1%
4 2
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
856 1
< 0.1%
163 1
< 0.1%
72 1
< 0.1%
67 1
< 0.1%
63 1
< 0.1%

V212
Real number (ℝ)

SKEWED  ZEROS 

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002416409867
Minimum0
Maximum55
Zeros73636
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:41.890957image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum55
Range55
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2399614956
Coefficient of variation (CV)99.30496432
Kurtosis38563.03926
Mean0.002416409867
Median Absolute Deviation (MAD)0
Skewness180.1648713
Sum178
Variance0.05758151936
MonotonicityNot monotonic
2024-03-09T21:12:42.098904image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 73636
> 99.9%
1 6
 
< 0.1%
2 6
 
< 0.1%
3 4
 
< 0.1%
4 3
 
< 0.1%
10 2
 
< 0.1%
16 1
 
< 0.1%
5 1
 
< 0.1%
15 1
 
< 0.1%
19 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
ValueCountFrequency (%)
0 73636
> 99.9%
1 6
 
< 0.1%
2 6
 
< 0.1%
3 4
 
< 0.1%
4 3
 
< 0.1%
ValueCountFrequency (%)
55 1
< 0.1%
19 1
< 0.1%
16 1
< 0.1%
15 1
< 0.1%
10 2
< 0.1%

V213
Real number (ℝ)

SKEWED  ZEROS 

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002267081167
Minimum0
Maximum57
Zeros73635
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:42.289968image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum57
Range57
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2412887652
Coefficient of variation (CV)106.4314629
Kurtosis43213.0951
Mean0.002267081167
Median Absolute Deviation (MAD)0
Skewness192.9416241
Sum167
Variance0.05822026822
MonotonicityNot monotonic
2024-03-09T21:12:42.494486image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 73635
> 99.9%
1 11
 
< 0.1%
2 4
 
< 0.1%
3 3
 
< 0.1%
5 2
 
< 0.1%
4 2
 
< 0.1%
20 1
 
< 0.1%
8 1
 
< 0.1%
14 1
 
< 0.1%
10 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
ValueCountFrequency (%)
0 73635
> 99.9%
1 11
 
< 0.1%
2 4
 
< 0.1%
3 3
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
57 1
< 0.1%
20 1
< 0.1%
14 1
< 0.1%
12 1
< 0.1%
10 1
< 0.1%

V214
Real number (ℝ)

SKEWED  ZEROS 

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004683491033
Minimum0
Maximum112
Zeros73630
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:42.698504image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum112
Range112
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4772723291
Coefficient of variation (CV)101.905251
Kurtosis42078.89158
Mean0.004683491033
Median Absolute Deviation (MAD)0
Skewness189.7008971
Sum345
Variance0.2277888762
MonotonicityNot monotonic
2024-03-09T21:12:42.902809image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 73630
> 99.9%
1 7
 
< 0.1%
6 6
 
< 0.1%
4 5
 
< 0.1%
3 4
 
< 0.1%
2 2
 
< 0.1%
36 1
 
< 0.1%
5 1
 
< 0.1%
18 1
 
< 0.1%
29 1
 
< 0.1%
Other values (5) 5
 
< 0.1%
ValueCountFrequency (%)
0 73630
> 99.9%
1 7
 
< 0.1%
2 2
 
< 0.1%
3 4
 
< 0.1%
4 5
 
< 0.1%
ValueCountFrequency (%)
112 1
< 0.1%
36 1
< 0.1%
31 1
< 0.1%
29 1
< 0.1%
18 1
< 0.1%

V215
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001357533633
Minimum0
Maximum10
Zeros73662
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:43.091249image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03684472327
Coefficient of variation (CV)271.409285
Kurtosis73663
Mean0.0001357533633
Median Absolute Deviation (MAD)0
Skewness271.409285
Sum10
Variance0.001357533633
MonotonicityNot monotonic
2024-03-09T21:12:43.305564image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 73662
> 99.9%
10 1
 
< 0.1%
ValueCountFrequency (%)
0 73662
> 99.9%
10 1
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
0 73662
> 99.9%

V216
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.430134532 × 10-5
Minimum0
Maximum3
Zeros73661
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:43.471835image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01165127708
Coefficient of variation (CV)214.5670058
Kurtosis60402.90397
Mean5.430134532 × 10-5
Median Absolute Deviation (MAD)0
Skewness240.3147669
Sum4
Variance0.0001357522575
MonotonicityNot monotonic
2024-03-09T21:12:43.675850image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 73661
> 99.9%
3 1
 
< 0.1%
1 1
 
< 0.1%
ValueCountFrequency (%)
0 73661
> 99.9%
1 1
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
3 1
 
< 0.1%
1 1
 
< 0.1%
0 73661
> 99.9%

V217
Real number (ℝ)

SKEWED  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001900547086
Minimum0
Maximum13
Zeros73661
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:43.864781image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04803959184
Coefficient of variation (CV)252.7671753
Kurtosis72801.43559
Mean0.0001900547086
Median Absolute Deviation (MAD)0
Skewness269.1404009
Sum14
Variance0.002307802384
MonotonicityNot monotonic
2024-03-09T21:12:44.084783image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 73661
> 99.9%
13 1
 
< 0.1%
1 1
 
< 0.1%
ValueCountFrequency (%)
0 73661
> 99.9%
1 1
 
< 0.1%
13 1
 
< 0.1%
ValueCountFrequency (%)
13 1
 
< 0.1%
1 1
 
< 0.1%
0 73661
> 99.9%

V218
Real number (ℝ)

SKEWED  ZEROS 

Distinct44
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03615112064
Minimum0
Maximum129
Zeros73420
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:44.322564image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum129
Range129
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.064716008
Coefficient of variation (CV)29.45181198
Kurtosis4199.061479
Mean0.03615112064
Median Absolute Deviation (MAD)0
Skewness52.96355163
Sum2663
Variance1.133620178
MonotonicityNot monotonic
2024-03-09T21:12:44.590433image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 73420
99.7%
1 81
 
0.1%
2 15
 
< 0.1%
14 12
 
< 0.1%
4 12
 
< 0.1%
3 12
 
< 0.1%
9 8
 
< 0.1%
5 8
 
< 0.1%
8 7
 
< 0.1%
15 7
 
< 0.1%
Other values (34) 81
 
0.1%
ValueCountFrequency (%)
0 73420
99.7%
1 81
 
0.1%
2 15
 
< 0.1%
3 12
 
< 0.1%
4 12
 
< 0.1%
ValueCountFrequency (%)
129 1
< 0.1%
69 2
< 0.1%
60 1
< 0.1%
56 1
< 0.1%
51 1
< 0.1%

V219
Real number (ℝ)

SKEWED  ZEROS 

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0231323731
Minimum0
Maximum88
Zeros73436
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:44.831181image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum88
Range88
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6984098817
Coefficient of variation (CV)30.19188211
Kurtosis4772.815792
Mean0.0231323731
Median Absolute Deviation (MAD)0
Skewness56.51680242
Sum1704
Variance0.4877763628
MonotonicityNot monotonic
2024-03-09T21:12:45.136411image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 73436
99.7%
1 75
 
0.1%
3 19
 
< 0.1%
2 17
 
< 0.1%
4 13
 
< 0.1%
5 13
 
< 0.1%
11 11
 
< 0.1%
6 9
 
< 0.1%
7 9
 
< 0.1%
12 8
 
< 0.1%
Other values (23) 53
 
0.1%
ValueCountFrequency (%)
0 73436
99.7%
1 75
 
0.1%
2 17
 
< 0.1%
3 19
 
< 0.1%
4 13
 
< 0.1%
ValueCountFrequency (%)
88 1
 
< 0.1%
51 1
 
< 0.1%
37 3
< 0.1%
36 1
 
< 0.1%
34 1
 
< 0.1%

V220
Real number (ℝ)

SKEWED  ZEROS 

Distinct58
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05928349375
Minimum0
Maximum217
Zeros73364
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:45.444249image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum217
Range217
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.731173175
Coefficient of variation (CV)29.20160513
Kurtosis4569.625954
Mean0.05928349375
Median Absolute Deviation (MAD)0
Skewness54.63879786
Sum4367
Variance2.996960563
MonotonicityNot monotonic
2024-03-09T21:12:46.509513image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 73364
99.6%
1 104
 
0.1%
2 31
 
< 0.1%
3 13
 
< 0.1%
6 7
 
< 0.1%
5 7
 
< 0.1%
14 6
 
< 0.1%
4 6
 
< 0.1%
11 6
 
< 0.1%
8 6
 
< 0.1%
Other values (48) 113
 
0.2%
ValueCountFrequency (%)
0 73364
99.6%
1 104
 
0.1%
2 31
 
< 0.1%
3 13
 
< 0.1%
4 6
 
< 0.1%
ValueCountFrequency (%)
217 1
< 0.1%
120 1
< 0.1%
97 1
< 0.1%
92 1
< 0.1%
88 1
< 0.1%

V221
Real number (ℝ)

SKEWED  ZEROS 

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02998791795
Minimum0
Maximum178
Zeros73321
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:46.822337image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum178
Range178
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.238104906
Coefficient of variation (CV)41.28679118
Kurtosis11056.43249
Mean0.02998791795
Median Absolute Deviation (MAD)0
Skewness94.23204097
Sum2209
Variance1.532903759
MonotonicityNot monotonic
2024-03-09T21:12:47.172620image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 73321
99.5%
1 131
 
0.2%
2 66
 
0.1%
3 37
 
0.1%
4 22
 
< 0.1%
5 12
 
< 0.1%
6 11
 
< 0.1%
10 9
 
< 0.1%
7 9
 
< 0.1%
11 6
 
< 0.1%
Other values (23) 39
 
0.1%
ValueCountFrequency (%)
0 73321
99.5%
1 131
 
0.2%
2 66
 
0.1%
3 37
 
0.1%
4 22
 
< 0.1%
ValueCountFrequency (%)
178 1
 
< 0.1%
158 1
 
< 0.1%
101 2
< 0.1%
71 1
 
< 0.1%
56 3
< 0.1%

V222
Real number (ℝ)

SKEWED  ZEROS 

Distinct38
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03625972333
Minimum0
Maximum241
Zeros73313
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:47.541885image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum241
Range241
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.530163139
Coefficient of variation (CV)42.20007762
Kurtosis13393.79574
Mean0.03625972333
Median Absolute Deviation (MAD)0
Skewness101.9630214
Sum2671
Variance2.341399233
MonotonicityNot monotonic
2024-03-09T21:12:47.857139image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 73313
99.5%
1 133
 
0.2%
2 56
 
0.1%
3 30
 
< 0.1%
5 26
 
< 0.1%
4 23
 
< 0.1%
6 11
 
< 0.1%
7 8
 
< 0.1%
9 7
 
< 0.1%
12 6
 
< 0.1%
Other values (28) 50
 
0.1%
ValueCountFrequency (%)
0 73313
99.5%
1 133
 
0.2%
2 56
 
0.1%
3 30
 
< 0.1%
4 23
 
< 0.1%
ValueCountFrequency (%)
241 1
 
< 0.1%
203 1
 
< 0.1%
102 1
 
< 0.1%
85 2
< 0.1%
71 3
< 0.1%

V223
Real number (ℝ)

SKEWED  ZEROS 

Distinct50
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06624764129
Minimum0
Maximum419
Zeros73208
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:48.164858image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum419
Range419
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.744366155
Coefficient of variation (CV)41.42586969
Kurtosis12443.22161
Mean0.06624764129
Median Absolute Deviation (MAD)0
Skewness98.70880286
Sum4880
Variance7.531545594
MonotonicityNot monotonic
2024-03-09T21:12:48.524817image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 73208
99.4%
1 142
 
0.2%
2 94
 
0.1%
3 35
 
< 0.1%
4 23
 
< 0.1%
6 19
 
< 0.1%
5 15
 
< 0.1%
7 13
 
< 0.1%
10 11
 
< 0.1%
12 10
 
< 0.1%
Other values (40) 93
 
0.1%
ValueCountFrequency (%)
0 73208
99.4%
1 142
 
0.2%
2 94
 
0.1%
3 35
 
< 0.1%
4 23
 
< 0.1%
ValueCountFrequency (%)
419 1
< 0.1%
361 1
< 0.1%
173 1
< 0.1%
172 2
< 0.1%
141 2
< 0.1%

V224
Real number (ℝ)

SKEWED  ZEROS 

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006502586102
Minimum0
Maximum106
Zeros73641
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:48.882053image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum106
Range106
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6750164565
Coefficient of variation (CV)103.8073846
Kurtosis19965.31708
Mean0.006502586102
Median Absolute Deviation (MAD)0
Skewness136.0714216
Sum479
Variance0.4556472165
MonotonicityNot monotonic
2024-03-09T21:12:49.282783image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 73641
> 99.9%
1 5
 
< 0.1%
2 4
 
< 0.1%
106 2
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
35 1
 
< 0.1%
13 1
 
< 0.1%
30 1
 
< 0.1%
3 1
 
< 0.1%
Other values (5) 5
 
< 0.1%
ValueCountFrequency (%)
0 73641
> 99.9%
1 5
 
< 0.1%
2 4
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
106 2
< 0.1%
84 1
< 0.1%
35 1
< 0.1%
30 1
< 0.1%
25 1
< 0.1%

V225
Real number (ℝ)

SKEWED  ZEROS 

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006869120182
Minimum0
Maximum151
Zeros73645
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:49.539774image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum151
Range151
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7863491145
Coefficient of variation (CV)114.4759581
Kurtosis25936.06799
Mean0.006869120182
Median Absolute Deviation (MAD)0
Skewness153.9208925
Sum506
Variance0.6183449299
MonotonicityNot monotonic
2024-03-09T21:12:49.806208image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 73645
> 99.9%
3 2
 
< 0.1%
1 2
 
< 0.1%
2 2
 
< 0.1%
4 2
 
< 0.1%
17 2
 
< 0.1%
11 1
 
< 0.1%
24 1
 
< 0.1%
114 1
 
< 0.1%
151 1
 
< 0.1%
Other values (4) 4
 
< 0.1%
ValueCountFrequency (%)
0 73645
> 99.9%
1 2
 
< 0.1%
2 2
 
< 0.1%
3 2
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
151 1
< 0.1%
114 1
< 0.1%
79 1
< 0.1%
37 1
< 0.1%
27 1
< 0.1%

V226
Real number (ℝ)

SKEWED  ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01337170628
Minimum0
Maximum257
Zeros73637
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:50.090203image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum257
Range257
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.44721422
Coefficient of variation (CV)108.2295849
Kurtosis23029.92542
Mean0.01337170628
Median Absolute Deviation (MAD)0
Skewness145.8958053
Sum985
Variance2.094428998
MonotonicityNot monotonic
2024-03-09T21:12:50.339577image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 73637
> 99.9%
1 6
 
< 0.1%
2 3
 
< 0.1%
3 2
 
< 0.1%
220 1
 
< 0.1%
32 1
 
< 0.1%
31 1
 
< 0.1%
45 1
 
< 0.1%
163 1
 
< 0.1%
67 1
 
< 0.1%
Other values (9) 9
 
< 0.1%
ValueCountFrequency (%)
0 73637
> 99.9%
1 6
 
< 0.1%
2 3
 
< 0.1%
3 2
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
257 1
< 0.1%
220 1
< 0.1%
163 1
< 0.1%
67 1
< 0.1%
45 1
< 0.1%

V227
Real number (ℝ)

SKEWED  ZEROS 

Distinct188
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9005606614
Minimum0
Maximum4545
Zeros72675
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:50.639012image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4545
Range4545
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.68494289
Coefficient of variation (CV)35.18357424
Kurtosis9898.244322
Mean0.9005606614
Median Absolute Deviation (MAD)0
Skewness87.79166801
Sum66338
Variance1003.935606
MonotonicityNot monotonic
2024-03-09T21:12:50.922056image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72675
98.7%
1 156
 
0.2%
2 87
 
0.1%
3 56
 
0.1%
5 34
 
< 0.1%
4 34
 
< 0.1%
8 29
 
< 0.1%
6 26
 
< 0.1%
7 26
 
< 0.1%
10 25
 
< 0.1%
Other values (178) 515
 
0.7%
ValueCountFrequency (%)
0 72675
98.7%
1 156
 
0.2%
2 87
 
0.1%
3 56
 
0.1%
4 34
 
< 0.1%
ValueCountFrequency (%)
4545 1
< 0.1%
3685 1
< 0.1%
2820 1
< 0.1%
2059 1
< 0.1%
1918 2
< 0.1%

V228
Real number (ℝ)

SKEWED  ZEROS 

Distinct207
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.02058021
Minimum0
Maximum5073
Zeros72590
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:51.193458image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5073
Range5073
Interquartile range (IQR)0

Descriptive statistics

Standard deviation35.98844666
Coefficient of variation (CV)35.26273223
Kurtosis9684.329208
Mean1.02058021
Median Absolute Deviation (MAD)0
Skewness87.45617262
Sum75179
Variance1295.168293
MonotonicityNot monotonic
2024-03-09T21:12:51.538979image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72590
98.5%
1 154
 
0.2%
2 118
 
0.2%
3 77
 
0.1%
4 52
 
0.1%
8 39
 
0.1%
5 35
 
< 0.1%
6 29
 
< 0.1%
9 23
 
< 0.1%
10 21
 
< 0.1%
Other values (197) 525
 
0.7%
ValueCountFrequency (%)
0 72590
98.5%
1 154
 
0.2%
2 118
 
0.2%
3 77
 
0.1%
4 52
 
0.1%
ValueCountFrequency (%)
5073 1
< 0.1%
3994 1
< 0.1%
3565 1
< 0.1%
2745 1
< 0.1%
2374 1
< 0.1%

V229
Real number (ℝ)

SKEWED  ZEROS 

Distinct261
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.921140871
Minimum0
Maximum9618
Zeros72511
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:51.855641image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9618
Range9618
Interquartile range (IQR)0

Descriptive statistics

Standard deviation67.5544285
Coefficient of variation (CV)35.16370377
Kurtosis9794.87336
Mean1.921140871
Median Absolute Deviation (MAD)0
Skewness87.64228698
Sum141517
Variance4563.600811
MonotonicityNot monotonic
2024-03-09T21:12:52.089819image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72511
98.4%
1 128
 
0.2%
2 100
 
0.1%
3 60
 
0.1%
4 58
 
0.1%
5 42
 
0.1%
6 31
 
< 0.1%
10 29
 
< 0.1%
8 25
 
< 0.1%
9 20
 
< 0.1%
Other values (251) 659
 
0.9%
ValueCountFrequency (%)
0 72511
98.4%
1 128
 
0.2%
2 100
 
0.1%
3 60
 
0.1%
4 58
 
0.1%
ValueCountFrequency (%)
9618 1
< 0.1%
7679 1
< 0.1%
6385 1
< 0.1%
4804 1
< 0.1%
4292 1
< 0.1%

E230
Text

MISSING 

Distinct326
Distinct (%)22.1%
Missing72186
Missing (%)98.0%
Memory size1.1 MiB
2024-03-09T21:12:52.476947image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Length

Max length97
Median length79
Mean length11.65809072
Min length1

Characters and Unicode

Total characters17219
Distinct characters84
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique241 ?
Unique (%)16.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 329
 
11.5%
beca 328
 
11.5%
prospera 293
 
10.2%
benito 248
 
8.7%
juarez 200
 
7.0%
federal 172
 
6.0%
otra 164
 
5.7%
unam 81
 
2.8%
de 72
 
2.5%
becas 46
 
1.6%
Other values (256) 928
32.4%
2024-03-09T21:12:53.129833image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 1728
 
10.0%
A 1558
 
9.0%
1403
 
8.1%
R 1222
 
7.1%
O 852
 
4.9%
P 691
 
4.0%
B 646
 
3.8%
T 568
 
3.3%
e 560
 
3.3%
N 545
 
3.2%
Other values (74) 7446
43.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 11411
66.3%
Lowercase Letter 3965
 
23.0%
Space Separator 1403
 
8.1%
Decimal Number 349
 
2.0%
Other Punctuation 38
 
0.2%
Close Punctuation 17
 
0.1%
Open Punctuation 17
 
0.1%
Dash Punctuation 7
 
< 0.1%
Private Use 5
 
< 0.1%
Control 4
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 1728
15.1%
A 1558
13.7%
R 1222
10.7%
O 852
 
7.5%
P 691
 
6.1%
B 646
 
5.7%
T 568
 
5.0%
N 545
 
4.8%
S 525
 
4.6%
C 513
 
4.5%
Other values (22) 2563
22.5%
Lowercase Letter
ValueCountFrequency (%)
e 560
14.1%
a 454
11.5%
r 392
9.9%
o 353
8.9%
s 315
7.9%
n 285
 
7.2%
i 266
 
6.7%
p 224
 
5.6%
t 219
 
5.5%
d 184
 
4.6%
Other values (21) 713
18.0%
Decimal Number
ValueCountFrequency (%)
0 336
96.3%
2 4
 
1.1%
5 3
 
0.9%
1 3
 
0.9%
6 2
 
0.6%
8 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 17
44.7%
. 13
34.2%
¡ 5
 
13.2%
% 2
 
5.3%
/ 1
 
2.6%
Control
ValueCountFrequency (%)
 2
50.0%
‰ 1
25.0%
‘ 1
25.0%
Space Separator
ValueCountFrequency (%)
1403
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Private Use
ValueCountFrequency (%)
5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Number
ValueCountFrequency (%)
³ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15376
89.3%
Common 1838
 
10.7%
Unknown 5
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 1728
 
11.2%
A 1558
 
10.1%
R 1222
 
7.9%
O 852
 
5.5%
P 691
 
4.5%
B 646
 
4.2%
T 568
 
3.7%
e 560
 
3.6%
N 545
 
3.5%
S 525
 
3.4%
Other values (53) 6481
42.2%
Common
ValueCountFrequency (%)
1403
76.3%
0 336
 
18.3%
) 17
 
0.9%
( 17
 
0.9%
, 17
 
0.9%
. 13
 
0.7%
- 7
 
0.4%
¡ 5
 
0.3%
2 4
 
0.2%
5 3
 
0.2%
Other values (10) 16
 
0.9%
Unknown
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17082
99.2%
None 132
 
0.8%
PUA 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 1728
 
10.1%
A 1558
 
9.1%
1403
 
8.2%
R 1222
 
7.2%
O 852
 
5.0%
P 691
 
4.0%
B 646
 
3.8%
T 568
 
3.3%
e 560
 
3.3%
N 545
 
3.2%
Other values (53) 7309
42.8%
None
ValueCountFrequency (%)
ó 42
31.8%
á 18
13.6%
Á 17
12.9%
Ó 16
 
12.1%
à 8
 
6.1%
í 7
 
5.3%
¡ 5
 
3.8%
Í 3
 
2.3%
É 2
 
1.5%
À 2
 
1.5%
Other values (10) 12
 
9.1%
PUA
ValueCountFrequency (%)
5
100.0%

V231
Real number (ℝ)

SKEWED  ZEROS 

Distinct830
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.85064415
Minimum0
Maximum10955
Zeros38137
Zeros (%)51.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:53.494906image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q331
95-th percentile187
Maximum10955
Range10955
Interquartile range (IQR)31

Descriptive statistics

Standard deviation127.6196479
Coefficient of variation (CV)3.371663831
Kurtosis1471.99521
Mean37.85064415
Median Absolute Deviation (MAD)0
Skewness26.9146977
Sum2788192
Variance16286.77452
MonotonicityNot monotonic
2024-03-09T21:12:53.892199image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38137
51.8%
15 735
 
1.0%
20 729
 
1.0%
16 712
 
1.0%
12 706
 
1.0%
14 700
 
1.0%
13 684
 
0.9%
17 668
 
0.9%
19 664
 
0.9%
18 654
 
0.9%
Other values (820) 29274
39.7%
ValueCountFrequency (%)
0 38137
51.8%
1 432
 
0.6%
2 393
 
0.5%
3 306
 
0.4%
4 346
 
0.5%
ValueCountFrequency (%)
10955 1
< 0.1%
8304 1
< 0.1%
6006 1
< 0.1%
5702 1
< 0.1%
5682 1
< 0.1%

V232
Real number (ℝ)

SKEWED  ZEROS 

Distinct982
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.00969279
Minimum0
Maximum12701
Zeros38062
Zeros (%)51.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:54.289134image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q333
95-th percentile224
Maximum12701
Range12701
Interquartile range (IQR)33

Descriptive statistics

Standard deviation146.6795631
Coefficient of variation (CV)3.332892229
Kurtosis1225.625534
Mean44.00969279
Median Absolute Deviation (MAD)0
Skewness23.19871426
Sum3241886
Variance21514.89423
MonotonicityNot monotonic
2024-03-09T21:12:54.575709image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38062
51.7%
16 745
 
1.0%
19 727
 
1.0%
15 720
 
1.0%
18 710
 
1.0%
17 689
 
0.9%
22 678
 
0.9%
21 659
 
0.9%
14 655
 
0.9%
12 644
 
0.9%
Other values (972) 29374
39.9%
ValueCountFrequency (%)
0 38062
51.7%
1 384
 
0.5%
2 328
 
0.4%
3 293
 
0.4%
4 267
 
0.4%
ValueCountFrequency (%)
12701 1
< 0.1%
7970 1
< 0.1%
6084 1
< 0.1%
5849 1
< 0.1%
5805 1
< 0.1%

V233
Real number (ℝ)

SKEWED  ZEROS 

Distinct1468
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.86033694
Minimum0
Maximum23656
Zeros37845
Zeros (%)51.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:54.828916image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q364
95-th percentile409
Maximum23656
Range23656
Interquartile range (IQR)64

Descriptive statistics

Standard deviation273.009406
Coefficient of variation (CV)3.335063307
Kurtosis1347.311004
Mean81.86033694
Median Absolute Deviation (MAD)0
Skewness24.98988752
Sum6030078
Variance74534.13577
MonotonicityNot monotonic
2024-03-09T21:12:55.096414image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37845
51.4%
32 417
 
0.6%
31 399
 
0.5%
35 399
 
0.5%
30 382
 
0.5%
34 373
 
0.5%
38 373
 
0.5%
33 372
 
0.5%
36 369
 
0.5%
37 364
 
0.5%
Other values (1458) 32370
43.9%
ValueCountFrequency (%)
0 37845
51.4%
1 248
 
0.3%
2 263
 
0.4%
3 168
 
0.2%
4 142
 
0.2%
ValueCountFrequency (%)
23656 1
< 0.1%
16274 1
< 0.1%
11766 1
< 0.1%
11726 1
< 0.1%
11507 1
< 0.1%

V234
Real number (ℝ)

SKEWED  ZEROS 

Distinct128
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3274506876
Minimum0
Maximum374
Zeros71963
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:55.332155image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum374
Range374
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.14076565
Coefficient of variation (CV)18.75325319
Kurtosis1710.554683
Mean0.3274506876
Median Absolute Deviation (MAD)0
Skewness37.46383563
Sum24121
Variance37.70900277
MonotonicityNot monotonic
2024-03-09T21:12:55.615577image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71963
97.7%
1 374
 
0.5%
2 249
 
0.3%
3 192
 
0.3%
4 144
 
0.2%
5 83
 
0.1%
6 73
 
0.1%
7 72
 
0.1%
8 62
 
0.1%
10 45
 
0.1%
Other values (118) 406
 
0.6%
ValueCountFrequency (%)
0 71963
97.7%
1 374
 
0.5%
2 249
 
0.3%
3 192
 
0.3%
4 144
 
0.2%
ValueCountFrequency (%)
374 1
< 0.1%
361 1
< 0.1%
360 1
< 0.1%
351 1
< 0.1%
337 1
< 0.1%

V235
Real number (ℝ)

SKEWED  ZEROS 

Distinct139
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4386055415
Minimum0
Maximum620
Zeros71822
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:55.884614image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum620
Range620
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.096184777
Coefficient of variation (CV)18.4589204
Kurtosis2632.870052
Mean0.4386055415
Median Absolute Deviation (MAD)0
Skewness44.840718
Sum32309
Variance65.54820794
MonotonicityNot monotonic
2024-03-09T21:12:56.166709image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71822
97.5%
1 316
 
0.4%
2 221
 
0.3%
3 156
 
0.2%
4 149
 
0.2%
5 129
 
0.2%
6 76
 
0.1%
8 62
 
0.1%
9 61
 
0.1%
7 60
 
0.1%
Other values (129) 611
 
0.8%
ValueCountFrequency (%)
0 71822
97.5%
1 316
 
0.4%
2 221
 
0.3%
3 156
 
0.2%
4 149
 
0.2%
ValueCountFrequency (%)
620 1
< 0.1%
602 1
< 0.1%
595 1
< 0.1%
592 1
< 0.1%
548 1
< 0.1%

V236
Real number (ℝ)

SKEWED  ZEROS 

Distinct186
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.766056229
Minimum0
Maximum971
Zeros71664
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:56.434496image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum971
Range971
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.04280192
Coefficient of variation (CV)18.33129395
Kurtosis2141.163447
Mean0.766056229
Median Absolute Deviation (MAD)0
Skewness40.89965029
Sum56430
Variance197.2002857
MonotonicityNot monotonic
2024-03-09T21:12:56.701918image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71664
97.3%
1 236
 
0.3%
2 185
 
0.3%
3 154
 
0.2%
4 124
 
0.2%
5 123
 
0.2%
6 90
 
0.1%
7 85
 
0.1%
8 71
 
0.1%
9 61
 
0.1%
Other values (176) 870
 
1.2%
ValueCountFrequency (%)
0 71664
97.3%
1 236
 
0.3%
2 185
 
0.3%
3 154
 
0.2%
4 124
 
0.2%
ValueCountFrequency (%)
971 1
< 0.1%
969 1
< 0.1%
962 1
< 0.1%
953 1
< 0.1%
885 1
< 0.1%

V237
Real number (ℝ)

SKEWED  ZEROS 

Distinct40
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03877116056
Minimum0
Maximum768
Zeros73429
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:56.966250image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum768
Range768
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.040943286
Coefficient of variation (CV)78.4331251
Kurtosis55411.30355
Mean0.03877116056
Median Absolute Deviation (MAD)0
Skewness222.9937641
Sum2856
Variance9.24733607
MonotonicityNot monotonic
2024-03-09T21:12:57.235670image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 73429
99.7%
1 62
 
0.1%
2 32
 
< 0.1%
4 24
 
< 0.1%
3 19
 
< 0.1%
5 17
 
< 0.1%
7 10
 
< 0.1%
6 9
 
< 0.1%
9 7
 
< 0.1%
8 6
 
< 0.1%
Other values (30) 48
 
0.1%
ValueCountFrequency (%)
0 73429
99.7%
1 62
 
0.1%
2 32
 
< 0.1%
3 19
 
< 0.1%
4 24
 
< 0.1%
ValueCountFrequency (%)
768 1
< 0.1%
170 1
< 0.1%
129 1
< 0.1%
71 1
< 0.1%
66 1
< 0.1%

V238
Real number (ℝ)

SKEWED  ZEROS 

Distinct45
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0471199924
Minimum0
Maximum765
Zeros73395
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:57.502580image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum765
Range765
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.125230184
Coefficient of variation (CV)66.32492972
Kurtosis48952.87596
Mean0.0471199924
Median Absolute Deviation (MAD)0
Skewness204.835079
Sum3471
Variance9.767063703
MonotonicityNot monotonic
2024-03-09T21:12:57.785527image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 73395
99.6%
1 61
 
0.1%
2 48
 
0.1%
5 26
 
< 0.1%
3 24
 
< 0.1%
4 15
 
< 0.1%
10 12
 
< 0.1%
6 11
 
< 0.1%
21 7
 
< 0.1%
9 7
 
< 0.1%
Other values (35) 57
 
0.1%
ValueCountFrequency (%)
0 73395
99.6%
1 61
 
0.1%
2 48
 
0.1%
3 24
 
< 0.1%
4 15
 
< 0.1%
ValueCountFrequency (%)
765 1
< 0.1%
170 1
< 0.1%
120 1
< 0.1%
114 1
< 0.1%
100 1
< 0.1%

V239
Real number (ℝ)

SKEWED  ZEROS 

Distinct57
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08589115295
Minimum0
Maximum1533
Zeros73364
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:58.052147image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1533
Range1533
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.138095629
Coefficient of variation (CV)71.46365391
Kurtosis53004.62083
Mean0.08589115295
Median Absolute Deviation (MAD)0
Skewness216.1756449
Sum6327
Variance37.67621795
MonotonicityNot monotonic
2024-03-09T21:12:58.319299image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 73364
99.6%
1 53
 
0.1%
2 36
 
< 0.1%
3 28
 
< 0.1%
6 18
 
< 0.1%
4 18
 
< 0.1%
5 16
 
< 0.1%
9 11
 
< 0.1%
7 10
 
< 0.1%
10 9
 
< 0.1%
Other values (47) 100
 
0.1%
ValueCountFrequency (%)
0 73364
99.6%
1 53
 
0.1%
2 36
 
< 0.1%
3 28
 
< 0.1%
4 18
 
< 0.1%
ValueCountFrequency (%)
1533 1
< 0.1%
340 1
< 0.1%
249 1
< 0.1%
180 1
< 0.1%
167 1
< 0.1%

V240
Real number (ℝ)

SKEWED  ZEROS 

Distinct287
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.602622755
Minimum0
Maximum1576
Zeros65142
Zeros (%)88.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:58.591019image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10
Maximum1576
Range1576
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.92188305
Coefficient of variation (CV)7.270313384
Kurtosis1023.792673
Mean2.602622755
Median Absolute Deviation (MAD)0
Skewness22.5143012
Sum191717
Variance358.0376581
MonotonicityNot monotonic
2024-03-09T21:12:58.874536image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65142
88.4%
1 1023
 
1.4%
2 843
 
1.1%
3 660
 
0.9%
4 523
 
0.7%
5 500
 
0.7%
6 391
 
0.5%
7 346
 
0.5%
10 331
 
0.4%
8 310
 
0.4%
Other values (277) 3594
 
4.9%
ValueCountFrequency (%)
0 65142
88.4%
1 1023
 
1.4%
2 843
 
1.1%
3 660
 
0.9%
4 523
 
0.7%
ValueCountFrequency (%)
1576 1
< 0.1%
1016 1
< 0.1%
818 1
< 0.1%
682 1
< 0.1%
615 1
< 0.1%

V241
Real number (ℝ)

SKEWED  ZEROS 

Distinct351
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.300585097
Minimum0
Maximum2450
Zeros64882
Zeros (%)88.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:12:59.155578image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12
Maximum2450
Range2450
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.06076868
Coefficient of variation (CV)7.289849517
Kurtosis1730.827866
Mean3.300585097
Median Absolute Deviation (MAD)0
Skewness26.96011772
Sum243131
Variance578.9205892
MonotonicityNot monotonic
2024-03-09T21:13:00.226241image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64882
88.1%
1 866
 
1.2%
2 761
 
1.0%
3 630
 
0.9%
4 511
 
0.7%
5 501
 
0.7%
6 378
 
0.5%
7 327
 
0.4%
8 291
 
0.4%
10 270
 
0.4%
Other values (341) 4246
 
5.8%
ValueCountFrequency (%)
0 64882
88.1%
1 866
 
1.2%
2 761
 
1.0%
3 630
 
0.9%
4 511
 
0.7%
ValueCountFrequency (%)
2450 1
< 0.1%
1067 1
< 0.1%
1003 1
< 0.1%
862 1
< 0.1%
768 1
< 0.1%

V242
Real number (ℝ)

SKEWED  ZEROS 

Distinct485
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.903207852
Minimum0
Maximum4026
Zeros64460
Zeros (%)87.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:00.492821image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile22
Maximum4026
Range4026
Interquartile range (IQR)0

Descriptive statistics

Standard deviation42.53614987
Coefficient of variation (CV)7.205599216
Kurtosis1399.028816
Mean5.903207852
Median Absolute Deviation (MAD)0
Skewness24.90605132
Sum434848
Variance1809.324046
MonotonicityNot monotonic
2024-03-09T21:13:00.811036image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64460
87.5%
2 523
 
0.7%
1 522
 
0.7%
3 458
 
0.6%
4 404
 
0.5%
6 363
 
0.5%
5 336
 
0.5%
8 307
 
0.4%
7 299
 
0.4%
10 292
 
0.4%
Other values (475) 5699
 
7.7%
ValueCountFrequency (%)
0 64460
87.5%
1 522
 
0.7%
2 523
 
0.7%
3 458
 
0.6%
4 404
 
0.5%
ValueCountFrequency (%)
4026 1
< 0.1%
2083 1
< 0.1%
1821 1
< 0.1%
1544 1
< 0.1%
1295 1
< 0.1%

V243
Real number (ℝ)

SKEWED  ZEROS 

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01166121391
Minimum0
Maximum275
Zeros73637
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:01.063815image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum275
Range275
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4258147
Coefficient of variation (CV)122.269835
Kurtosis28146.3615
Mean0.01166121391
Median Absolute Deviation (MAD)0
Skewness162.9248614
Sum859
Variance2.032947558
MonotonicityNot monotonic
2024-03-09T21:13:01.255182image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 73637
> 99.9%
3 5
 
< 0.1%
7 4
 
< 0.1%
1 2
 
< 0.1%
6 2
 
< 0.1%
14 1
 
< 0.1%
222 1
 
< 0.1%
27 1
 
< 0.1%
33 1
 
< 0.1%
143 1
 
< 0.1%
Other values (8) 8
 
< 0.1%
ValueCountFrequency (%)
0 73637
> 99.9%
1 2
 
< 0.1%
2 1
 
< 0.1%
3 5
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
275 1
< 0.1%
222 1
< 0.1%
143 1
< 0.1%
40 1
< 0.1%
33 1
< 0.1%

V244
Real number (ℝ)

SKEWED  ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01337170628
Minimum0
Maximum299
Zeros73636
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:01.474876image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum299
Range299
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.591232959
Coefficient of variation (CV)118.9999934
Kurtosis26707.17076
Mean0.01337170628
Median Absolute Deviation (MAD)0
Skewness158.259579
Sum985
Variance2.53202233
MonotonicityNot monotonic
2024-03-09T21:13:01.694998image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 73636
> 99.9%
4 4
 
< 0.1%
3 3
 
< 0.1%
5 3
 
< 0.1%
1 2
 
< 0.1%
2 2
 
< 0.1%
158 1
 
< 0.1%
10 1
 
< 0.1%
21 1
 
< 0.1%
251 1
 
< 0.1%
Other values (9) 9
 
< 0.1%
ValueCountFrequency (%)
0 73636
> 99.9%
1 2
 
< 0.1%
2 2
 
< 0.1%
3 3
 
< 0.1%
4 4
 
< 0.1%
ValueCountFrequency (%)
299 1
< 0.1%
251 1
< 0.1%
158 1
< 0.1%
72 1
< 0.1%
40 1
< 0.1%

V245
Real number (ℝ)

SKEWED  ZEROS 

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02503292019
Minimum0
Maximum574
Zeros73634
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:01.915158image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum574
Range574
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.013463493
Coefficient of variation (CV)120.3800224
Kurtosis27485.04624
Mean0.02503292019
Median Absolute Deviation (MAD)0
Skewness160.7976247
Sum1844
Variance9.080962223
MonotonicityNot monotonic
2024-03-09T21:13:02.139038image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 73634
> 99.9%
5 4
 
< 0.1%
10 3
 
< 0.1%
1 3
 
< 0.1%
24 2
 
< 0.1%
11 1
 
< 0.1%
29 1
 
< 0.1%
7 1
 
< 0.1%
28 1
 
< 0.1%
473 1
 
< 0.1%
Other values (12) 12
 
< 0.1%
ValueCountFrequency (%)
0 73634
> 99.9%
1 3
 
< 0.1%
3 1
 
< 0.1%
5 4
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
574 1
< 0.1%
473 1
< 0.1%
301 1
< 0.1%
105 1
< 0.1%
80 1
< 0.1%

V246
Real number (ℝ)

SKEWED  ZEROS 

Distinct23
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007262804936
Minimum0
Maximum117
Zeros73623
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:02.357993image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum117
Range117
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6134341115
Coefficient of variation (CV)84.46242421
Kurtosis25417.87015
Mean0.007262804936
Median Absolute Deviation (MAD)0
Skewness148.4000083
Sum535
Variance0.3763014091
MonotonicityNot monotonic
2024-03-09T21:13:02.578614image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 73623
99.9%
1 9
 
< 0.1%
3 3
 
< 0.1%
5 3
 
< 0.1%
2 3
 
< 0.1%
6 2
 
< 0.1%
10 2
 
< 0.1%
15 2
 
< 0.1%
11 2
 
< 0.1%
20 1
 
< 0.1%
Other values (13) 13
 
< 0.1%
ValueCountFrequency (%)
0 73623
99.9%
1 9
 
< 0.1%
2 3
 
< 0.1%
3 3
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
117 1
< 0.1%
93 1
< 0.1%
35 1
< 0.1%
27 1
< 0.1%
22 1
< 0.1%

V247
Real number (ℝ)

SKEWED  ZEROS 

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007927996416
Minimum0
Maximum186
Zeros73616
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:02.800202image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum186
Range186
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7533096051
Coefficient of variation (CV)95.01891342
Kurtosis50652.47413
Mean0.007927996416
Median Absolute Deviation (MAD)0
Skewness209.8895741
Sum584
Variance0.5674753611
MonotonicityNot monotonic
2024-03-09T21:13:03.018393image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 73616
99.9%
1 11
 
< 0.1%
5 5
 
< 0.1%
2 4
 
< 0.1%
4 4
 
< 0.1%
7 3
 
< 0.1%
6 2
 
< 0.1%
12 2
 
< 0.1%
13 2
 
< 0.1%
10 2
 
< 0.1%
Other values (12) 12
 
< 0.1%
ValueCountFrequency (%)
0 73616
99.9%
1 11
 
< 0.1%
2 4
 
< 0.1%
3 1
 
< 0.1%
4 4
 
< 0.1%
ValueCountFrequency (%)
186 1
< 0.1%
35 1
< 0.1%
33 1
< 0.1%
28 1
< 0.1%
26 1
< 0.1%

V248
Real number (ℝ)

SKEWED  ZEROS 

Distinct30
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01519080135
Minimum0
Maximum303
Zeros73612
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:03.254240image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum303
Range303
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.304405735
Coefficient of variation (CV)85.86813196
Kurtosis40231.8527
Mean0.01519080135
Median Absolute Deviation (MAD)0
Skewness182.5494905
Sum1119
Variance1.701474322
MonotonicityNot monotonic
2024-03-09T21:13:03.489746image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 73612
99.9%
1 13
 
< 0.1%
8 4
 
< 0.1%
3 4
 
< 0.1%
5 3
 
< 0.1%
13 2
 
< 0.1%
48 2
 
< 0.1%
26 1
 
< 0.1%
14 1
 
< 0.1%
27 1
 
< 0.1%
Other values (20) 20
 
< 0.1%
ValueCountFrequency (%)
0 73612
99.9%
1 13
 
< 0.1%
3 4
 
< 0.1%
4 1
 
< 0.1%
5 3
 
< 0.1%
ValueCountFrequency (%)
303 1
< 0.1%
100 1
< 0.1%
70 1
< 0.1%
51 1
< 0.1%
48 2
< 0.1%

V249
Real number (ℝ)

SKEWED  ZEROS 

Distinct90
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2216580916
Minimum0
Maximum409
Zeros72461
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:03.741528image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum409
Range409
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.660285834
Coefficient of variation (CV)21.0246592
Kurtosis3782.402394
Mean0.2216580916
Median Absolute Deviation (MAD)0
Skewness54.67770119
Sum16328
Variance21.71826405
MonotonicityNot monotonic
2024-03-09T21:13:04.043159image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72461
98.4%
1 171
 
0.2%
2 168
 
0.2%
3 121
 
0.2%
5 103
 
0.1%
4 88
 
0.1%
6 54
 
0.1%
8 54
 
0.1%
7 49
 
0.1%
10 47
 
0.1%
Other values (80) 347
 
0.5%
ValueCountFrequency (%)
0 72461
98.4%
1 171
 
0.2%
2 168
 
0.2%
3 121
 
0.2%
4 88
 
0.1%
ValueCountFrequency (%)
409 1
< 0.1%
374 1
< 0.1%
362 1
< 0.1%
347 1
< 0.1%
346 1
< 0.1%

V250
Real number (ℝ)

SKEWED  ZEROS 

Distinct105
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2741946432
Minimum0
Maximum460
Zeros72406
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:04.311781image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum460
Range460
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.51168514
Coefficient of variation (CV)20.10135966
Kurtosis3719.665491
Mean0.2741946432
Median Absolute Deviation (MAD)0
Skewness53.82752767
Sum20198
Variance30.37867308
MonotonicityNot monotonic
2024-03-09T21:13:04.578262image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72406
98.3%
1 149
 
0.2%
2 121
 
0.2%
3 121
 
0.2%
4 94
 
0.1%
5 79
 
0.1%
7 69
 
0.1%
6 68
 
0.1%
8 53
 
0.1%
9 51
 
0.1%
Other values (95) 452
 
0.6%
ValueCountFrequency (%)
0 72406
98.3%
1 149
 
0.2%
2 121
 
0.2%
3 121
 
0.2%
4 94
 
0.1%
ValueCountFrequency (%)
460 1
< 0.1%
459 1
< 0.1%
456 1
< 0.1%
435 1
< 0.1%
361 1
< 0.1%

V251
Real number (ℝ)

SKEWED  ZEROS 

Distinct139
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4958527348
Minimum0
Maximum865
Zeros72324
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:04.830097image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum865
Range865
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.11553395
Coefficient of variation (CV)20.40027863
Kurtosis3779.511726
Mean0.4958527348
Median Absolute Deviation (MAD)0
Skewness54.5254429
Sum36526
Variance102.3240271
MonotonicityNot monotonic
2024-03-09T21:13:05.081273image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72324
98.2%
1 107
 
0.1%
4 81
 
0.1%
5 78
 
0.1%
2 78
 
0.1%
3 77
 
0.1%
8 62
 
0.1%
10 57
 
0.1%
6 53
 
0.1%
9 50
 
0.1%
Other values (129) 696
 
0.9%
ValueCountFrequency (%)
0 72324
98.2%
1 107
 
0.1%
2 78
 
0.1%
3 77
 
0.1%
4 81
 
0.1%
ValueCountFrequency (%)
865 1
< 0.1%
833 1
< 0.1%
807 1
< 0.1%
781 1
< 0.1%
723 1
< 0.1%

V252
Real number (ℝ)

SKEWED  ZEROS 

Distinct51
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04847752603
Minimum0
Maximum147
Zeros73336
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:05.349003image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum147
Range147
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.433358906
Coefficient of variation (CV)29.56749289
Kurtosis3752.824901
Mean0.04847752603
Median Absolute Deviation (MAD)0
Skewness53.66559178
Sum3571
Variance2.054517753
MonotonicityNot monotonic
2024-03-09T21:13:05.616155image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 73336
99.6%
1 81
 
0.1%
2 47
 
0.1%
3 36
 
< 0.1%
4 23
 
< 0.1%
5 15
 
< 0.1%
6 9
 
< 0.1%
9 7
 
< 0.1%
11 7
 
< 0.1%
10 7
 
< 0.1%
Other values (41) 95
 
0.1%
ValueCountFrequency (%)
0 73336
99.6%
1 81
 
0.1%
2 47
 
0.1%
3 36
 
< 0.1%
4 23
 
< 0.1%
ValueCountFrequency (%)
147 1
< 0.1%
114 1
< 0.1%
108 1
< 0.1%
100 1
< 0.1%
94 1
< 0.1%

V253
Real number (ℝ)

SKEWED  ZEROS 

Distinct63
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06579965519
Minimum0
Maximum233
Zeros73323
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:05.867197image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum233
Range233
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.014116471
Coefficient of variation (CV)30.60983322
Kurtosis4686.902302
Mean0.06579965519
Median Absolute Deviation (MAD)0
Skewness59.09200414
Sum4847
Variance4.056665161
MonotonicityNot monotonic
2024-03-09T21:13:06.134169image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 73323
99.5%
1 71
 
0.1%
2 51
 
0.1%
3 32
 
< 0.1%
5 19
 
< 0.1%
4 16
 
< 0.1%
6 11
 
< 0.1%
7 10
 
< 0.1%
12 9
 
< 0.1%
10 8
 
< 0.1%
Other values (53) 113
 
0.2%
ValueCountFrequency (%)
0 73323
99.5%
1 71
 
0.1%
2 51
 
0.1%
3 32
 
< 0.1%
4 16
 
< 0.1%
ValueCountFrequency (%)
233 1
< 0.1%
159 1
< 0.1%
146 1
< 0.1%
144 1
< 0.1%
139 1
< 0.1%

V254
Real number (ℝ)

SKEWED  ZEROS 

Distinct78
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1142771812
Minimum0
Maximum380
Zeros73281
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:06.385525image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum380
Range380
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.4073693
Coefficient of variation (CV)29.81670762
Kurtosis4274.92201
Mean0.1142771812
Median Absolute Deviation (MAD)0
Skewness56.58962328
Sum8418
Variance11.61016555
MonotonicityNot monotonic
2024-03-09T21:13:06.653404image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 73281
99.5%
1 62
 
0.1%
2 42
 
0.1%
3 31
 
< 0.1%
5 23
 
< 0.1%
4 21
 
< 0.1%
7 18
 
< 0.1%
6 16
 
< 0.1%
8 14
 
< 0.1%
10 7
 
< 0.1%
Other values (68) 148
 
0.2%
ValueCountFrequency (%)
0 73281
99.5%
1 62
 
0.1%
2 42
 
0.1%
3 31
 
< 0.1%
4 21
 
< 0.1%
ValueCountFrequency (%)
380 1
< 0.1%
259 1
< 0.1%
258 1
< 0.1%
240 1
< 0.1%
222 1
< 0.1%

V255
Real number (ℝ)

SKEWED  ZEROS 

Distinct102
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2337401409
Minimum0
Maximum1400
Zeros72626
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:06.972742image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1400
Range1400
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.407362094
Coefficient of variation (CV)35.96884156
Kurtosis16730.21917
Mean0.2337401409
Median Absolute Deviation (MAD)0
Skewness117.1108635
Sum17218
Variance70.68373737
MonotonicityNot monotonic
2024-03-09T21:13:07.273279image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72626
98.6%
1 184
 
0.2%
2 159
 
0.2%
3 116
 
0.2%
4 98
 
0.1%
5 86
 
0.1%
7 41
 
0.1%
6 38
 
0.1%
10 31
 
< 0.1%
8 24
 
< 0.1%
Other values (92) 260
 
0.4%
ValueCountFrequency (%)
0 72626
98.6%
1 184
 
0.2%
2 159
 
0.2%
3 116
 
0.2%
4 98
 
0.1%
ValueCountFrequency (%)
1400 1
< 0.1%
1079 1
< 0.1%
981 1
< 0.1%
319 1
< 0.1%
271 1
< 0.1%

V256
Real number (ℝ)

SKEWED  ZEROS 

Distinct104
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2959966333
Minimum0
Maximum2033
Zeros72545
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:07.572217image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2033
Range2033
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.87537675
Coefficient of variation (CV)36.74155557
Kurtosis21695.33691
Mean0.2959966333
Median Absolute Deviation (MAD)0
Skewness134.3748839
Sum21804
Variance118.2738195
MonotonicityNot monotonic
2024-03-09T21:13:07.912346image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72545
98.5%
2 150
 
0.2%
1 116
 
0.2%
3 95
 
0.1%
4 85
 
0.1%
5 81
 
0.1%
6 72
 
0.1%
7 56
 
0.1%
8 48
 
0.1%
9 40
 
0.1%
Other values (94) 375
 
0.5%
ValueCountFrequency (%)
0 72545
98.5%
1 116
 
0.2%
2 150
 
0.2%
3 95
 
0.1%
4 85
 
0.1%
ValueCountFrequency (%)
2033 1
< 0.1%
1273 1
< 0.1%
1272 1
< 0.1%
338 1
< 0.1%
301 1
< 0.1%

V257
Real number (ℝ)

SKEWED  ZEROS 

Distinct145
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5297367742
Minimum0
Maximum3433
Zeros72474
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:08.131596image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3433
Range3433
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.21131983
Coefficient of variation (CV)36.26578474
Kurtosis19507.45198
Mean0.5297367742
Median Absolute Deviation (MAD)0
Skewness127.1222837
Sum39022
Variance369.0748094
MonotonicityNot monotonic
2024-03-09T21:13:08.398865image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72474
98.4%
3 87
 
0.1%
5 84
 
0.1%
1 84
 
0.1%
2 80
 
0.1%
7 76
 
0.1%
6 74
 
0.1%
4 62
 
0.1%
10 51
 
0.1%
9 45
 
0.1%
Other values (135) 546
 
0.7%
ValueCountFrequency (%)
0 72474
98.4%
1 84
 
0.1%
2 80
 
0.1%
3 87
 
0.1%
4 62
 
0.1%
ValueCountFrequency (%)
3433 1
< 0.1%
2352 1
< 0.1%
2253 1
< 0.1%
609 1
< 0.1%
546 1
< 0.1%

E258
Text

MISSING 

Distinct629
Distinct (%)34.9%
Missing71862
Missing (%)97.6%
Memory size1.1 MiB
2024-03-09T21:13:08.775527image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Length

Max length100
Median length77
Mean length12.2193226
Min length1

Characters and Unicode

Total characters22007
Distinct characters84
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique467 ?
Unique (%)25.9%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 613
 
15.2%
beca 308
 
7.7%
de 292
 
7.3%
unam 274
 
6.8%
becas 141
 
3.5%
la 117
 
2.9%
universidad 83
 
2.1%
por 80
 
2.0%
del 56
 
1.4%
y 52
 
1.3%
Other values (481) 2008
49.9%
2024-03-09T21:13:09.435652image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2278
 
10.4%
A 1827
 
8.3%
E 1409
 
6.4%
a 974
 
4.4%
N 886
 
4.0%
e 844
 
3.8%
I 835
 
3.8%
C 781
 
3.5%
U 764
 
3.5%
O 699
 
3.2%
Other values (74) 10710
48.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 11923
54.2%
Lowercase Letter 6838
31.1%
Space Separator 2278
 
10.4%
Decimal Number 746
 
3.4%
Other Punctuation 159
 
0.7%
Close Punctuation 17
 
0.1%
Open Punctuation 16
 
0.1%
Dash Punctuation 13
 
0.1%
Private Use 8
 
< 0.1%
Control 6
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 1827
15.3%
E 1409
11.8%
N 886
 
7.4%
I 835
 
7.0%
C 781
 
6.6%
U 764
 
6.4%
O 699
 
5.9%
S 698
 
5.9%
D 617
 
5.2%
R 567
 
4.8%
Other values (20) 2840
23.8%
Lowercase Letter
ValueCountFrequency (%)
a 974
14.2%
e 844
12.3%
i 508
 
7.4%
c 494
 
7.2%
o 491
 
7.2%
s 491
 
7.2%
t 431
 
6.3%
d 417
 
6.1%
r 401
 
5.9%
n 401
 
5.9%
Other values (18) 1386
20.3%
Decimal Number
ValueCountFrequency (%)
0 643
86.2%
5 35
 
4.7%
1 27
 
3.6%
2 19
 
2.5%
4 10
 
1.3%
3 5
 
0.7%
9 3
 
0.4%
7 2
 
0.3%
8 1
 
0.1%
6 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 71
44.7%
, 37
23.3%
% 29
18.2%
/ 9
 
5.7%
* 7
 
4.4%
" 5
 
3.1%
? 1
 
0.6%
Control
ValueCountFrequency (%)
“ 5
83.3%
‰ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
2278
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Private Use
ValueCountFrequency (%)
8
100.0%
Other Number
ValueCountFrequency (%)
³ 2
100.0%
Other Symbol
ValueCountFrequency (%)
© 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18761
85.3%
Common 3238
 
14.7%
Unknown 8
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 1827
 
9.7%
E 1409
 
7.5%
a 974
 
5.2%
N 886
 
4.7%
e 844
 
4.5%
I 835
 
4.5%
C 781
 
4.2%
U 764
 
4.1%
O 699
 
3.7%
S 698
 
3.7%
Other values (48) 9044
48.2%
Common
ValueCountFrequency (%)
2278
70.4%
0 643
 
19.9%
. 71
 
2.2%
, 37
 
1.1%
5 35
 
1.1%
% 29
 
0.9%
1 27
 
0.8%
2 19
 
0.6%
) 17
 
0.5%
( 16
 
0.5%
Other values (15) 66
 
2.0%
Unknown
ValueCountFrequency (%)
8
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21857
99.3%
None 142
 
0.6%
PUA 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2278
 
10.4%
A 1827
 
8.4%
E 1409
 
6.4%
a 974
 
4.5%
N 886
 
4.1%
e 844
 
3.9%
I 835
 
3.8%
C 781
 
3.6%
U 764
 
3.5%
O 699
 
3.2%
Other values (59) 10560
48.3%
None
ValueCountFrequency (%)
ó 48
33.8%
Ó 43
30.3%
é 13
 
9.2%
É 12
 
8.5%
í 7
 
4.9%
“ 5
 
3.5%
à 4
 
2.8%
Í 3
 
2.1%
³ 2
 
1.4%
© 1
 
0.7%
Other values (4) 4
 
2.8%
PUA
ValueCountFrequency (%)
8
100.0%

V259
Real number (ℝ)

SKEWED  ZEROS 

Distinct843
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.34228853
Minimum0
Maximum10955
Zeros28796
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:09.719542image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q335
95-th percentile195
Maximum10955
Range10955
Interquartile range (IQR)35

Descriptive statistics

Standard deviation130.3226578
Coefficient of variation (CV)3.15228456
Kurtosis1387.603429
Mean41.34228853
Median Absolute Deviation (MAD)8
Skewness26.10209218
Sum3045397
Variance16983.99513
MonotonicityNot monotonic
2024-03-09T21:13:09.970638image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28796
39.1%
1 1313
 
1.8%
2 1210
 
1.6%
3 1059
 
1.4%
5 1009
 
1.4%
10 984
 
1.3%
4 981
 
1.3%
12 925
 
1.3%
15 922
 
1.3%
7 889
 
1.2%
Other values (833) 35575
48.3%
ValueCountFrequency (%)
0 28796
39.1%
1 1313
 
1.8%
2 1210
 
1.6%
3 1059
 
1.4%
4 981
 
1.3%
ValueCountFrequency (%)
10955 1
< 0.1%
8304 1
< 0.1%
6012 1
< 0.1%
5723 1
< 0.1%
5690 1
< 0.1%

V260
Real number (ℝ)

SKEWED  ZEROS 

Distinct996
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.45329406
Minimum0
Maximum12701
Zeros28469
Zeros (%)38.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:10.238715image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q338
95-th percentile235
Maximum12701
Range12701
Interquartile range (IQR)38

Descriptive statistics

Standard deviation150.5424442
Coefficient of variation (CV)3.106959952
Kurtosis1137.533002
Mean48.45329406
Median Absolute Deviation (MAD)10
Skewness22.37729072
Sum3569215
Variance22663.02749
MonotonicityNot monotonic
2024-03-09T21:13:10.505220image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28469
38.6%
2 1043
 
1.4%
1 1019
 
1.4%
10 931
 
1.3%
3 926
 
1.3%
15 919
 
1.2%
12 905
 
1.2%
5 889
 
1.2%
16 879
 
1.2%
19 856
 
1.2%
Other values (986) 36827
50.0%
ValueCountFrequency (%)
0 28469
38.6%
1 1019
 
1.4%
2 1043
 
1.4%
3 926
 
1.3%
4 854
 
1.2%
ValueCountFrequency (%)
12701 1
< 0.1%
7970 1
< 0.1%
6092 1
< 0.1%
5854 1
< 0.1%
5834 1
< 0.1%

V261
Real number (ℝ)

SKEWED  ZEROS 

Distinct1491
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.79558259
Minimum0
Maximum23656
Zeros27995
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:10.806340image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median19
Q373
95-th percentile429.9
Maximum23656
Range23656
Interquartile range (IQR)73

Descriptive statistics

Standard deviation279.4919564
Coefficient of variation (CV)3.112535699
Kurtosis1260.467121
Mean89.79558259
Median Absolute Deviation (MAD)19
Skewness24.17265173
Sum6614612
Variance78115.75368
MonotonicityNot monotonic
2024-03-09T21:13:11.158262image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27995
38.0%
2 622
 
0.8%
3 555
 
0.8%
6 544
 
0.7%
5 540
 
0.7%
4 536
 
0.7%
1 511
 
0.7%
32 502
 
0.7%
30 497
 
0.7%
10 496
 
0.7%
Other values (1481) 40865
55.5%
ValueCountFrequency (%)
0 27995
38.0%
1 511
 
0.7%
2 622
 
0.8%
3 555
 
0.8%
4 536
 
0.7%
ValueCountFrequency (%)
23656 1
< 0.1%
16274 1
< 0.1%
11782 1
< 0.1%
11743 1
< 0.1%
11557 1
< 0.1%

V262
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1832.611623
Minimum0
Maximum2022
Zeros6850
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:11.399112image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12019
median2020
Q32021
95-th percentile2022
Maximum2022
Range2022
Interquartile range (IQR)2

Descriptive statistics

Standard deviation586.7983696
Coefficient of variation (CV)0.3201978871
Kurtosis5.856670304
Mean1832.611623
Median Absolute Deviation (MAD)1
Skewness-2.802939935
Sum134995670
Variance344332.3266
MonotonicityNot monotonic
2024-03-09T21:13:11.652992image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2020 16728
22.7%
2021 16708
22.7%
2022 16693
22.7%
2019 16684
22.6%
0 6850
9.3%
ValueCountFrequency (%)
0 6850
9.3%
2019 16684
22.6%
2020 16728
22.7%
2021 16708
22.7%
2022 16693
22.7%
ValueCountFrequency (%)
2022 16693
22.7%
2021 16708
22.7%
2020 16728
22.7%
2019 16684
22.6%
0 6850
9.3%

V263
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.476847264
Minimum0
Maximum10
Zeros6851
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:11.906782image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile9
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.436782538
Coefficient of variation (CV)0.3259104342
Kurtosis5.285842247
Mean7.476847264
Median Absolute Deviation (MAD)0
Skewness-2.619694996
Sum550767
Variance5.937909139
MonotonicityNot monotonic
2024-03-09T21:13:12.206953image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
8 48869
66.3%
9 16531
 
22.4%
0 6851
 
9.3%
7 1028
 
1.4%
10 384
 
0.5%
ValueCountFrequency (%)
0 6851
 
9.3%
7 1028
 
1.4%
8 48869
66.3%
9 16531
 
22.4%
10 384
 
0.5%
ValueCountFrequency (%)
10 384
 
0.5%
9 16531
 
22.4%
8 48869
66.3%
7 1028
 
1.4%
0 6851
 
9.3%

V264
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.10447579
Minimum0
Maximum31
Zeros6851
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:12.528195image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median21
Q326
95-th percentile30
Maximum31
Range31
Interquartile range (IQR)17

Descriptive statistics

Standard deviation9.736990901
Coefficient of variation (CV)0.5692656718
Kurtosis-1.087537946
Mean17.10447579
Median Absolute Deviation (MAD)8
Skewness-0.4202623453
Sum1259967
Variance94.8089918
MonotonicityNot monotonic
2024-03-09T21:13:12.879995image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
21 7188
 
9.8%
0 6851
 
9.3%
26 5987
 
8.1%
29 5815
 
7.9%
30 5503
 
7.5%
22 4158
 
5.6%
19 3850
 
5.2%
12 3823
 
5.2%
23 3669
 
5.0%
24 3355
 
4.6%
Other values (22) 23464
31.9%
ValueCountFrequency (%)
0 6851
9.3%
1 1827
 
2.5%
2 1018
 
1.4%
3 592
 
0.8%
4 336
 
0.5%
ValueCountFrequency (%)
31 534
 
0.7%
30 5503
7.5%
29 5815
7.9%
28 474
 
0.6%
27 121
 
0.2%

V265
Real number (ℝ)

SKEWED  ZEROS 

Distinct973
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.31413328
Minimum0
Maximum164751
Zeros6869
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:13.189544image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q122
median40
Q390
95-th percentile300
Maximum164751
Range164751
Interquartile range (IQR)68

Descriptive statistics

Standard deviation967.5820771
Coefficient of variation (CV)10.25914191
Kurtosis20761.89119
Mean94.31413328
Median Absolute Deviation (MAD)24
Skewness138.1765374
Sum6947462
Variance936215.0759
MonotonicityNot monotonic
2024-03-09T21:13:14.361508image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 7813
 
10.6%
0 6869
 
9.3%
40 3864
 
5.2%
20 3780
 
5.1%
50 3776
 
5.1%
25 3774
 
5.1%
35 2725
 
3.7%
100 2553
 
3.5%
60 2077
 
2.8%
15 1642
 
2.2%
Other values (963) 34790
47.2%
ValueCountFrequency (%)
0 6869
9.3%
1 657
 
0.9%
2 164
 
0.2%
3 184
 
0.2%
4 146
 
0.2%
ValueCountFrequency (%)
164751 1
< 0.1%
145258 1
< 0.1%
101789 1
< 0.1%
85983 1
< 0.1%
14583 1
< 0.1%

V266
Real number (ℝ)

SKEWED  ZEROS 

Distinct791
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.78180362
Minimum0
Maximum60766
Zeros8893
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:14.612797image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median13
Q334
95-th percentile139
Maximum60766
Range60766
Interquartile range (IQR)28

Descriptive statistics

Standard deviation466.3287018
Coefficient of variation (CV)10.41335239
Kurtosis11850.43546
Mean44.78180362
Median Absolute Deviation (MAD)10
Skewness98.8705799
Sum3298762
Variance217462.4581
MonotonicityNot monotonic
2024-03-09T21:13:14.881582image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8893
 
12.1%
6 2713
 
3.7%
5 2668
 
3.6%
8 2642
 
3.6%
7 2617
 
3.6%
10 2543
 
3.5%
9 2450
 
3.3%
4 2351
 
3.2%
11 2225
 
3.0%
12 1999
 
2.7%
Other values (781) 42562
57.8%
ValueCountFrequency (%)
0 8893
12.1%
1 959
 
1.3%
2 1398
 
1.9%
3 1866
 
2.5%
4 2351
 
3.2%
ValueCountFrequency (%)
60766 1
< 0.1%
60065 1
< 0.1%
58191 1
< 0.1%
41339 1
< 0.1%
15892 2
< 0.1%

V267
Real number (ℝ)

SKEWED  ZEROS 

Distinct866
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.96151392
Minimum0
Maximum103985
Zeros9016
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:15.134470image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median14
Q335
95-th percentile155
Maximum103985
Range103985
Interquartile range (IQR)29

Descriptive statistics

Standard deviation711.0990822
Coefficient of variation (CV)13.95364909
Kurtosis15286.33721
Mean50.96151392
Median Absolute Deviation (MAD)11
Skewness115.4065673
Sum3753978
Variance505661.9047
MonotonicityNot monotonic
2024-03-09T21:13:15.401410image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9016
 
12.2%
7 2700
 
3.7%
8 2686
 
3.6%
6 2574
 
3.5%
5 2527
 
3.4%
10 2497
 
3.4%
9 2483
 
3.4%
11 2202
 
3.0%
4 2192
 
3.0%
12 2076
 
2.8%
Other values (856) 42710
58.0%
ValueCountFrequency (%)
0 9016
12.2%
1 850
 
1.2%
2 1329
 
1.8%
3 1845
 
2.5%
4 2192
 
3.0%
ValueCountFrequency (%)
103985 1
< 0.1%
99999 1
< 0.1%
87067 1
< 0.1%
60450 1
< 0.1%
19137 2
< 0.1%

V268
Real number (ℝ)

SKEWED  ZEROS 

Distinct1291
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.74331754
Minimum0
Maximum164751
Zeros8455
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:15.653858image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112
median27
Q369
95-th percentile292
Maximum164751
Range164751
Interquartile range (IQR)57

Descriptive statistics

Standard deviation1174.838706
Coefficient of variation (CV)12.27071232
Kurtosis13893.2141
Mean95.74331754
Median Absolute Deviation (MAD)20
Skewness108.907513
Sum7052740
Variance1380245.985
MonotonicityNot monotonic
2024-03-09T21:13:15.920695image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8455
 
11.5%
15 1528
 
2.1%
12 1509
 
2.0%
16 1447
 
2.0%
14 1429
 
1.9%
20 1404
 
1.9%
10 1382
 
1.9%
11 1377
 
1.9%
13 1374
 
1.9%
17 1354
 
1.8%
Other values (1281) 52404
71.1%
ValueCountFrequency (%)
0 8455
11.5%
1 234
 
0.3%
2 280
 
0.4%
3 353
 
0.5%
4 490
 
0.7%
ValueCountFrequency (%)
164751 1
< 0.1%
160064 1
< 0.1%
145258 1
< 0.1%
101789 1
< 0.1%
35029 2
< 0.1%

V269
Real number (ℝ)

SKEWED  ZEROS 

Distinct208
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.127010847
Minimum0
Maximum3633
Zeros65937
Zeros (%)89.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:16.157097image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum3633
Range3633
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.15431845
Coefficient of variation (CV)21.43219697
Kurtosis12497.83538
Mean1.127010847
Median Absolute Deviation (MAD)0
Skewness99.22753106
Sum83019
Variance583.4311
MonotonicityNot monotonic
2024-03-09T21:13:16.439729image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65937
89.5%
1 3467
 
4.7%
2 1310
 
1.8%
3 637
 
0.9%
4 360
 
0.5%
5 284
 
0.4%
6 186
 
0.3%
7 146
 
0.2%
8 139
 
0.2%
9 96
 
0.1%
Other values (198) 1101
 
1.5%
ValueCountFrequency (%)
0 65937
89.5%
1 3467
 
4.7%
2 1310
 
1.8%
3 637
 
0.9%
4 360
 
0.5%
ValueCountFrequency (%)
3633 1
< 0.1%
2933 1
< 0.1%
2697 1
< 0.1%
1652 1
< 0.1%
1311 1
< 0.1%

V270
Real number (ℝ)

SKEWED  ZEROS 

Distinct193
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.689803565
Minimum0
Maximum7245
Zeros65337
Zeros (%)88.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:16.824283image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17
Maximum7245
Range7245
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.42642666
Coefficient of variation (CV)11.68353967
Kurtosis38796.19643
Mean2.689803565
Median Absolute Deviation (MAD)0
Skewness174.842001
Sum198139
Variance987.6202928
MonotonicityNot monotonic
2024-03-09T21:13:17.155572image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65337
88.7%
1 1090
 
1.5%
2 535
 
0.7%
3 350
 
0.5%
4 272
 
0.4%
5 267
 
0.4%
8 230
 
0.3%
10 215
 
0.3%
20 211
 
0.3%
6 201
 
0.3%
Other values (183) 4955
 
6.7%
ValueCountFrequency (%)
0 65337
88.7%
1 1090
 
1.5%
2 535
 
0.7%
3 350
 
0.5%
4 272
 
0.4%
ValueCountFrequency (%)
7245 1
< 0.1%
2137 1
< 0.1%
1841 1
< 0.1%
1417 1
< 0.1%
365 1
< 0.1%

V271
Real number (ℝ)

SKEWED  ZEROS 

Distinct103
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.896963197
Minimum0
Maximum17629
Zeros52944
Zeros (%)71.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:17.519146image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum17629
Range17629
Interquartile range (IQR)1

Descriptive statistics

Standard deviation102.9028643
Coefficient of variation (CV)54.24610475
Kurtosis24211.67581
Mean1.896963197
Median Absolute Deviation (MAD)0
Skewness149.2499764
Sum139736
Variance10588.99948
MonotonicityNot monotonic
2024-03-09T21:13:17.891299image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52944
71.9%
1 8245
 
11.2%
2 4282
 
5.8%
3 2367
 
3.2%
4 1462
 
2.0%
5 1010
 
1.4%
6 705
 
1.0%
7 492
 
0.7%
8 394
 
0.5%
9 273
 
0.4%
Other values (93) 1489
 
2.0%
ValueCountFrequency (%)
0 52944
71.9%
1 8245
 
11.2%
2 4282
 
5.8%
3 2367
 
3.2%
4 1462
 
2.0%
ValueCountFrequency (%)
17629 2
< 0.1%
7292 2
< 0.1%
5000 2
< 0.1%
605 1
< 0.1%
589 1
< 0.1%

V272
Real number (ℝ)

ZEROS 

Distinct238
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.819597356
Minimum0
Maximum518
Zeros28971
Zeros (%)39.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:18.181626image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36
95-th percentile25
Maximum518
Range518
Interquartile range (IQR)6

Descriptive statistics

Standard deviation15.38691686
Coefficient of variation (CV)2.643983066
Kurtosis226.3754974
Mean5.819597356
Median Absolute Deviation (MAD)2
Skewness11.57670897
Sum428689
Variance236.7572104
MonotonicityNot monotonic
2024-03-09T21:13:18.473054image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28971
39.3%
1 7601
 
10.3%
2 6343
 
8.6%
3 4996
 
6.8%
4 3938
 
5.3%
5 3008
 
4.1%
6 2257
 
3.1%
7 1811
 
2.5%
8 1522
 
2.1%
9 1272
 
1.7%
Other values (228) 11944
16.2%
ValueCountFrequency (%)
0 28971
39.3%
1 7601
 
10.3%
2 6343
 
8.6%
3 4996
 
6.8%
4 3938
 
5.3%
ValueCountFrequency (%)
518 1
< 0.1%
490 1
< 0.1%
438 1
< 0.1%
429 1
< 0.1%
420 1
< 0.1%

V273
Real number (ℝ)

ZEROS 

Distinct261
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.861735199
Minimum0
Maximum579
Zeros28101
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:18.841613image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36
95-th percentile31
Maximum579
Range579
Interquartile range (IQR)6

Descriptive statistics

Standard deviation18.02483767
Coefficient of variation (CV)2.626862907
Kurtosis193.7425599
Mean6.861735199
Median Absolute Deviation (MAD)2
Skewness10.59856171
Sum505456
Variance324.8947731
MonotonicityNot monotonic
2024-03-09T21:13:19.139314image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28101
38.1%
1 7116
 
9.7%
2 6207
 
8.4%
3 5029
 
6.8%
4 3995
 
5.4%
5 3019
 
4.1%
6 2339
 
3.2%
7 1835
 
2.5%
8 1597
 
2.2%
9 1265
 
1.7%
Other values (251) 13160
17.9%
ValueCountFrequency (%)
0 28101
38.1%
1 7116
 
9.7%
2 6207
 
8.4%
3 5029
 
6.8%
4 3995
 
5.4%
ValueCountFrequency (%)
579 1
< 0.1%
520 1
< 0.1%
518 1
< 0.1%
496 1
< 0.1%
466 1
< 0.1%

V274
Real number (ℝ)

ZEROS 

Distinct392
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.68133256
Minimum0
Maximum1097
Zeros24491
Zeros (%)33.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:19.452547image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q312
95-th percentile56
Maximum1097
Range1097
Interquartile range (IQR)12

Descriptive statistics

Standard deviation33.07848581
Coefficient of variation (CV)2.608439268
Kurtosis212.2919936
Mean12.68133256
Median Absolute Deviation (MAD)4
Skewness11.16205614
Sum934145
Variance1094.186224
MonotonicityNot monotonic
2024-03-09T21:13:19.721203image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24491
33.2%
2 4125
 
5.6%
1 3988
 
5.4%
3 3798
 
5.2%
4 3486
 
4.7%
5 3166
 
4.3%
6 2807
 
3.8%
7 2322
 
3.2%
8 2138
 
2.9%
9 1826
 
2.5%
Other values (382) 21516
29.2%
ValueCountFrequency (%)
0 24491
33.2%
1 3988
 
5.4%
2 4125
 
5.6%
3 3798
 
5.2%
4 3486
 
4.7%
ValueCountFrequency (%)
1097 1
< 0.1%
1008 1
< 0.1%
924 1
< 0.1%
907 1
< 0.1%
893 1
< 0.1%

V275
Real number (ℝ)

SKEWED  ZEROS 

Distinct71
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1386177593
Minimum0
Maximum140
Zeros71177
Zeros (%)96.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:20.007926image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum140
Range140
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.203001518
Coefficient of variation (CV)15.89263547
Kurtosis1627.757934
Mean0.1386177593
Median Absolute Deviation (MAD)0
Skewness36.57487274
Sum10211
Variance4.853215689
MonotonicityNot monotonic
2024-03-09T21:13:20.359824image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71177
96.6%
1 1392
 
1.9%
2 462
 
0.6%
3 207
 
0.3%
4 88
 
0.1%
5 60
 
0.1%
7 30
 
< 0.1%
8 27
 
< 0.1%
6 25
 
< 0.1%
9 18
 
< 0.1%
Other values (61) 177
 
0.2%
ValueCountFrequency (%)
0 71177
96.6%
1 1392
 
1.9%
2 462
 
0.6%
3 207
 
0.3%
4 88
 
0.1%
ValueCountFrequency (%)
140 1
< 0.1%
136 1
< 0.1%
117 1
< 0.1%
116 1
< 0.1%
111 1
< 0.1%

V276
Real number (ℝ)

ZEROS 

Distinct73
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4641950504
Minimum0
Maximum90
Zeros68828
Zeros (%)93.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:20.808212image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum90
Range90
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.847225717
Coefficient of variation (CV)6.133683922
Kurtosis201.9982121
Mean0.4641950504
Median Absolute Deviation (MAD)0
Skewness11.81144145
Sum34194
Variance8.106694285
MonotonicityNot monotonic
2024-03-09T21:13:21.223895image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68828
93.4%
1 948
 
1.3%
2 656
 
0.9%
3 473
 
0.6%
4 446
 
0.6%
5 343
 
0.5%
6 279
 
0.4%
7 218
 
0.3%
8 195
 
0.3%
9 192
 
0.3%
Other values (63) 1085
 
1.5%
ValueCountFrequency (%)
0 68828
93.4%
1 948
 
1.3%
2 656
 
0.9%
3 473
 
0.6%
4 446
 
0.6%
ValueCountFrequency (%)
90 1
< 0.1%
86 1
< 0.1%
85 1
< 0.1%
83 1
< 0.1%
78 1
< 0.1%

V277
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.196285788
Minimum0
Maximum48
Zeros66229
Zeros (%)89.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:21.592241image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum48
Range48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9379843335
Coefficient of variation (CV)4.778666572
Kurtosis398.4746642
Mean0.196285788
Median Absolute Deviation (MAD)0
Skewness14.46583994
Sum14459
Variance0.8798146099
MonotonicityNot monotonic
2024-03-09T21:13:21.922601image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 66229
89.9%
1 4611
 
6.3%
2 1502
 
2.0%
3 567
 
0.8%
4 268
 
0.4%
5 145
 
0.2%
6 90
 
0.1%
7 73
 
0.1%
8 41
 
0.1%
9 25
 
< 0.1%
Other values (22) 112
 
0.2%
ValueCountFrequency (%)
0 66229
89.9%
1 4611
 
6.3%
2 1502
 
2.0%
3 567
 
0.8%
4 268
 
0.4%
ValueCountFrequency (%)
48 1
< 0.1%
47 1
< 0.1%
33 2
< 0.1%
32 1
< 0.1%
31 1
< 0.1%

V278
Real number (ℝ)

ZEROS 

Distinct450
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.36980574
Minimum0
Maximum2938
Zeros12930
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:22.206269image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q318
95-th percentile73
Maximum2938
Range2938
Interquartile range (IQR)16

Descriptive statistics

Standard deviation43.3866912
Coefficient of variation (CV)2.361848123
Kurtosis459.6808892
Mean18.36980574
Median Absolute Deviation (MAD)6
Skewness14.06863364
Sum1353175
Variance1882.404973
MonotonicityNot monotonic
2024-03-09T21:13:22.588782image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12930
17.6%
4 4152
 
5.6%
3 4035
 
5.5%
5 3924
 
5.3%
2 3904
 
5.3%
6 3503
 
4.8%
7 3111
 
4.2%
1 2979
 
4.0%
8 2785
 
3.8%
9 2335
 
3.2%
Other values (440) 30005
40.7%
ValueCountFrequency (%)
0 12930
17.6%
1 2979
 
4.0%
2 3904
 
5.3%
3 4035
 
5.5%
4 4152
 
5.6%
ValueCountFrequency (%)
2938 1
< 0.1%
1328 1
< 0.1%
1257 1
< 0.1%
1190 1
< 0.1%
1171 1
< 0.1%

V279
Real number (ℝ)

ZEROS 

Distinct502
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.77758169
Minimum0
Maximum2738
Zeros12904
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:22.943366image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q319
95-th percentile87
Maximum2738
Range2738
Interquartile range (IQR)17

Descriptive statistics

Standard deviation49.36635582
Coefficient of variation (CV)2.375943291
Kurtosis288.3946765
Mean20.77758169
Median Absolute Deviation (MAD)6
Skewness11.7257068
Sum1530539
Variance2437.037087
MonotonicityNot monotonic
2024-03-09T21:13:23.275311image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12904
17.5%
4 3977
 
5.4%
3 3886
 
5.3%
5 3796
 
5.2%
2 3628
 
4.9%
6 3420
 
4.6%
7 3070
 
4.2%
1 2825
 
3.8%
8 2711
 
3.7%
9 2478
 
3.4%
Other values (492) 30968
42.0%
ValueCountFrequency (%)
0 12904
17.5%
1 2825
 
3.8%
2 3628
 
4.9%
3 3886
 
5.3%
4 3977
 
5.4%
ValueCountFrequency (%)
2738 1
< 0.1%
1453 1
< 0.1%
1411 1
< 0.1%
1247 1
< 0.1%
1244 1
< 0.1%

V280
Real number (ℝ)

ZEROS 

Distinct753
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.14738743
Minimum0
Maximum5676
Zeros11452
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:23.644934image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median14
Q337
95-th percentile159
Maximum5676
Range5676
Interquartile range (IQR)32

Descriptive statistics

Standard deviation92.05532256
Coefficient of variation (CV)2.351506157
Kurtosis363.6484608
Mean39.14738743
Median Absolute Deviation (MAD)12
Skewness12.8196264
Sum2883714
Variance8474.182412
MonotonicityNot monotonic
2024-03-09T21:13:24.009006image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11452
 
15.5%
7 2266
 
3.1%
8 2229
 
3.0%
9 2198
 
3.0%
6 2125
 
2.9%
11 2077
 
2.8%
10 2038
 
2.8%
5 2012
 
2.7%
12 1893
 
2.6%
13 1784
 
2.4%
Other values (743) 43589
59.2%
ValueCountFrequency (%)
0 11452
15.5%
1 1006
 
1.4%
2 1255
 
1.7%
3 1460
 
2.0%
4 1746
 
2.4%
ValueCountFrequency (%)
5676 1
< 0.1%
2739 1
< 0.1%
2643 1
< 0.1%
2504 1
< 0.1%
2361 1
< 0.1%

V281
Real number (ℝ)

SKEWED  ZEROS 

Distinct124
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3902637688
Minimum0
Maximum306
Zeros68924
Zeros (%)93.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:24.457724image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum306
Range306
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.918621368
Coefficient of variation (CV)12.60332565
Kurtosis1146.634502
Mean0.3902637688
Median Absolute Deviation (MAD)0
Skewness29.87728609
Sum28748
Variance24.19283616
MonotonicityNot monotonic
2024-03-09T21:13:24.989027image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68924
93.6%
1 2298
 
3.1%
2 814
 
1.1%
3 399
 
0.5%
4 223
 
0.3%
5 176
 
0.2%
6 114
 
0.2%
7 89
 
0.1%
8 61
 
0.1%
9 57
 
0.1%
Other values (114) 508
 
0.7%
ValueCountFrequency (%)
0 68924
93.6%
1 2298
 
3.1%
2 814
 
1.1%
3 399
 
0.5%
4 223
 
0.3%
ValueCountFrequency (%)
306 1
< 0.1%
277 1
< 0.1%
240 1
< 0.1%
236 1
< 0.1%
228 1
< 0.1%

V282
Real number (ℝ)

ZEROS 

Distinct128
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.413586197
Minimum0
Maximum249
Zeros66669
Zeros (%)90.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:25.372475image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9
Maximum249
Range249
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.117464425
Coefficient of variation (CV)5.035040977
Kurtosis147.2541052
Mean1.413586197
Median Absolute Deviation (MAD)0
Skewness9.578862288
Sum104129
Variance50.65829984
MonotonicityNot monotonic
2024-03-09T21:13:25.723529image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66669
90.5%
1 922
 
1.3%
2 514
 
0.7%
3 386
 
0.5%
4 314
 
0.4%
5 299
 
0.4%
7 286
 
0.4%
6 284
 
0.4%
10 263
 
0.4%
8 257
 
0.3%
Other values (118) 3469
 
4.7%
ValueCountFrequency (%)
0 66669
90.5%
1 922
 
1.3%
2 514
 
0.7%
3 386
 
0.5%
4 314
 
0.4%
ValueCountFrequency (%)
249 1
< 0.1%
228 1
< 0.1%
223 1
< 0.1%
204 1
< 0.1%
198 1
< 0.1%

V283
Real number (ℝ)

SKEWED  ZEROS 

Distinct69
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.608921711
Minimum0
Maximum263
Zeros58330
Zeros (%)79.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:25.994646image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum263
Range263
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.961024493
Coefficient of variation (CV)4.862734305
Kurtosis2724.766671
Mean0.608921711
Median Absolute Deviation (MAD)0
Skewness38.6540715
Sum44855
Variance8.767666051
MonotonicityNot monotonic
2024-03-09T21:13:26.296969image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58330
79.2%
1 7213
 
9.8%
2 3227
 
4.4%
3 1688
 
2.3%
4 993
 
1.3%
5 576
 
0.8%
6 389
 
0.5%
7 297
 
0.4%
8 211
 
0.3%
9 140
 
0.2%
Other values (59) 599
 
0.8%
ValueCountFrequency (%)
0 58330
79.2%
1 7213
 
9.8%
2 3227
 
4.4%
3 1688
 
2.3%
4 993
 
1.3%
ValueCountFrequency (%)
263 1
< 0.1%
253 1
< 0.1%
236 1
< 0.1%
223 1
< 0.1%
116 1
< 0.1%

V284
Real number (ℝ)

SKEWED  ZEROS 

Distinct209
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.276203793
Minimum0
Maximum1482
Zeros26940
Zeros (%)36.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:26.572152image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile16
Maximum1482
Range1482
Interquartile range (IQR)4

Descriptive statistics

Standard deviation15.71856759
Coefficient of variation (CV)3.675822844
Kurtosis3184.40108
Mean4.276203793
Median Absolute Deviation (MAD)1
Skewness42.09392498
Sum314998
Variance247.073367
MonotonicityNot monotonic
2024-03-09T21:13:26.889230image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26940
36.6%
1 12024
16.3%
2 8402
 
11.4%
3 5702
 
7.7%
4 3962
 
5.4%
5 2845
 
3.9%
6 2228
 
3.0%
7 1656
 
2.2%
8 1248
 
1.7%
9 1057
 
1.4%
Other values (199) 7599
 
10.3%
ValueCountFrequency (%)
0 26940
36.6%
1 12024
16.3%
2 8402
 
11.4%
3 5702
 
7.7%
4 3962
 
5.4%
ValueCountFrequency (%)
1482 1
< 0.1%
1328 1
< 0.1%
1314 1
< 0.1%
1251 1
< 0.1%
898 1
< 0.1%

V285
Real number (ℝ)

SKEWED  ZEROS 

Distinct208
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.634633398
Minimum0
Maximum2013
Zeros30712
Zeros (%)41.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:27.877734image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile14
Maximum2013
Range2013
Interquartile range (IQR)3

Descriptive statistics

Standard deviation17.28296593
Coefficient of variation (CV)4.75507817
Kurtosis6084.242936
Mean3.634633398
Median Absolute Deviation (MAD)1
Skewness62.24927511
Sum267738
Variance298.7009112
MonotonicityNot monotonic
2024-03-09T21:13:28.259364image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30712
41.7%
1 12939
17.6%
2 8260
 
11.2%
3 5204
 
7.1%
4 3270
 
4.4%
5 2430
 
3.3%
6 1762
 
2.4%
7 1296
 
1.8%
8 1047
 
1.4%
9 813
 
1.1%
Other values (198) 5930
 
8.1%
ValueCountFrequency (%)
0 30712
41.7%
1 12939
17.6%
2 8260
 
11.2%
3 5204
 
7.1%
4 3270
 
4.4%
ValueCountFrequency (%)
2013 1
< 0.1%
1787 1
< 0.1%
1615 1
< 0.1%
1576 1
< 0.1%
809 1
< 0.1%

V286
Real number (ℝ)

SKEWED  ZEROS 

Distinct328
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.910837191
Minimum0
Maximum3495
Zeros20814
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:28.580478image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile29
Maximum3495
Range3495
Interquartile range (IQR)7

Descriptive statistics

Standard deviation32.61023776
Coefficient of variation (CV)4.122223347
Kurtosis4674.908783
Mean7.910837191
Median Absolute Deviation (MAD)2
Skewness52.98146756
Sum582736
Variance1063.427607
MonotonicityNot monotonic
2024-03-09T21:13:28.897710image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20814
28.3%
1 8853
12.0%
2 7545
 
10.2%
3 5894
 
8.0%
4 4591
 
6.2%
5 3693
 
5.0%
6 2690
 
3.7%
7 2319
 
3.1%
8 1858
 
2.5%
9 1503
 
2.0%
Other values (318) 13903
18.9%
ValueCountFrequency (%)
0 20814
28.3%
1 8853
12.0%
2 7545
 
10.2%
3 5894
 
8.0%
4 4591
 
6.2%
ValueCountFrequency (%)
3495 1
< 0.1%
3038 1
< 0.1%
2943 1
< 0.1%
2890 1
< 0.1%
1707 1
< 0.1%

V287
Real number (ℝ)

SKEWED  ZEROS 

Distinct61
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1078153211
Minimum0
Maximum183
Zeros71392
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:29.164994image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum183
Range183
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.79287705
Coefficient of variation (CV)16.6291491
Kurtosis3482.783942
Mean0.1078153211
Median Absolute Deviation (MAD)0
Skewness49.01608152
Sum7942
Variance3.214408117
MonotonicityNot monotonic
2024-03-09T21:13:29.494822image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71392
96.9%
1 1384
 
1.9%
2 364
 
0.5%
3 163
 
0.2%
4 98
 
0.1%
5 45
 
0.1%
6 26
 
< 0.1%
7 22
 
< 0.1%
11 16
 
< 0.1%
10 16
 
< 0.1%
Other values (51) 137
 
0.2%
ValueCountFrequency (%)
0 71392
96.9%
1 1384
 
1.9%
2 364
 
0.5%
3 163
 
0.2%
4 98
 
0.1%
ValueCountFrequency (%)
183 1
< 0.1%
168 1
< 0.1%
122 1
< 0.1%
95 1
< 0.1%
88 1
< 0.1%

V288
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2719818634
Minimum0
Maximum122
Zeros68903
Zeros (%)93.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:29.860504image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum122
Range122
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.669576795
Coefficient of variation (CV)6.138559293
Kurtosis698.980265
Mean0.2719818634
Median Absolute Deviation (MAD)0
Skewness17.63162408
Sum20035
Variance2.787486674
MonotonicityNot monotonic
2024-03-09T21:13:30.299774image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 68903
93.5%
1 1349
 
1.8%
2 889
 
1.2%
3 650
 
0.9%
4 441
 
0.6%
5 358
 
0.5%
6 241
 
0.3%
7 167
 
0.2%
8 153
 
0.2%
9 95
 
0.1%
Other values (36) 417
 
0.6%
ValueCountFrequency (%)
0 68903
93.5%
1 1349
 
1.8%
2 889
 
1.2%
3 650
 
0.9%
4 441
 
0.6%
ValueCountFrequency (%)
122 1
< 0.1%
93 1
< 0.1%
70 1
< 0.1%
55 1
< 0.1%
45 1
< 0.1%

V289
Real number (ℝ)

SKEWED  ZEROS 

Distinct29
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1187027409
Minimum0
Maximum48
Zeros68457
Zeros (%)92.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:30.548624image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum48
Range48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6988323384
Coefficient of variation (CV)5.88724686
Kurtosis1006.649381
Mean0.1187027409
Median Absolute Deviation (MAD)0
Skewness22.73601112
Sum8744
Variance0.4883666373
MonotonicityNot monotonic
2024-03-09T21:13:30.815769image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 68457
92.9%
1 3701
 
5.0%
2 856
 
1.2%
3 297
 
0.4%
4 124
 
0.2%
5 66
 
0.1%
6 48
 
0.1%
7 35
 
< 0.1%
8 17
 
< 0.1%
10 12
 
< 0.1%
Other values (19) 50
 
0.1%
ValueCountFrequency (%)
0 68457
92.9%
1 3701
 
5.0%
2 856
 
1.2%
3 297
 
0.4%
4 124
 
0.2%
ValueCountFrequency (%)
48 1
< 0.1%
46 1
< 0.1%
36 1
< 0.1%
34 2
< 0.1%
30 1
< 0.1%

V290
Real number (ℝ)

SKEWED  ZEROS 

Distinct112
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.379186294
Minimum0
Maximum1738
Zeros46531
Zeros (%)63.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:31.208513image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum1738
Range1738
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.8791523
Coefficient of variation (CV)8.613160054
Kurtosis10500.10661
Mean1.379186294
Median Absolute Deviation (MAD)0
Skewness90.89403131
Sum101595
Variance141.1142593
MonotonicityNot monotonic
2024-03-09T21:13:31.742019image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46531
63.2%
1 12333
 
16.7%
2 5710
 
7.8%
3 2829
 
3.8%
4 1648
 
2.2%
5 1050
 
1.4%
6 695
 
0.9%
7 482
 
0.7%
8 380
 
0.5%
9 281
 
0.4%
Other values (102) 1724
 
2.3%
ValueCountFrequency (%)
0 46531
63.2%
1 12333
 
16.7%
2 5710
 
7.8%
3 2829
 
3.8%
4 1648
 
2.2%
ValueCountFrequency (%)
1738 1
< 0.1%
1274 1
< 0.1%
1103 1
< 0.1%
1040 1
< 0.1%
941 1
< 0.1%

V291
Real number (ℝ)

SKEWED  ZEROS 

Distinct97
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.063939834
Minimum0
Maximum2325
Zeros50937
Zeros (%)69.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:32.060096image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum2325
Range2325
Interquartile range (IQR)1

Descriptive statistics

Standard deviation14.16335961
Coefficient of variation (CV)13.31218097
Kurtosis15760.72505
Mean1.063939834
Median Absolute Deviation (MAD)0
Skewness116.1352958
Sum78373
Variance200.6007554
MonotonicityNot monotonic
2024-03-09T21:13:32.357496image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50937
69.1%
1 11751
 
16.0%
2 4484
 
6.1%
3 2148
 
2.9%
4 1149
 
1.6%
5 754
 
1.0%
6 480
 
0.7%
7 316
 
0.4%
8 256
 
0.3%
9 195
 
0.3%
Other values (87) 1193
 
1.6%
ValueCountFrequency (%)
0 50937
69.1%
1 11751
 
16.0%
2 4484
 
6.1%
3 2148
 
2.9%
4 1149
 
1.6%
ValueCountFrequency (%)
2325 1
< 0.1%
1679 1
< 0.1%
1521 1
< 0.1%
1401 1
< 0.1%
774 1
< 0.1%

V292
Real number (ℝ)

SKEWED  ZEROS 

Distinct157
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.443126128
Minimum0
Maximum4063
Zeros39489
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:32.639084image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile9
Maximum4063
Range4063
Interquartile range (IQR)2

Descriptive statistics

Standard deviation25.82086256
Coefficient of variation (CV)10.56878
Kurtosis13478.98296
Mean2.443126128
Median Absolute Deviation (MAD)0
Skewness105.4671746
Sum179968
Variance666.7169433
MonotonicityNot monotonic
2024-03-09T21:13:33.055448image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39489
53.6%
1 12891
 
17.5%
2 6701
 
9.1%
3 3916
 
5.3%
4 2492
 
3.4%
5 1666
 
2.3%
6 1152
 
1.6%
7 849
 
1.2%
8 655
 
0.9%
9 461
 
0.6%
Other values (147) 3391
 
4.6%
ValueCountFrequency (%)
0 39489
53.6%
1 12891
 
17.5%
2 6701
 
9.1%
3 3916
 
5.3%
4 2492
 
3.4%
ValueCountFrequency (%)
4063 1
< 0.1%
2953 1
< 0.1%
2624 1
< 0.1%
2441 1
< 0.1%
1715 1
< 0.1%

V293
Real number (ℝ)

SKEWED  ZEROS 

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03582531257
Minimum0
Maximum155
Zeros72721
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:33.386694image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum155
Range155
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.060600699
Coefficient of variation (CV)29.60478563
Kurtosis14394.47869
Mean0.03582531257
Median Absolute Deviation (MAD)0
Skewness107.5645749
Sum2639
Variance1.124873843
MonotonicityNot monotonic
2024-03-09T21:13:33.673672image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 72721
98.7%
1 671
 
0.9%
2 122
 
0.2%
3 39
 
0.1%
4 22
 
< 0.1%
5 16
 
< 0.1%
7 7
 
< 0.1%
8 7
 
< 0.1%
6 5
 
< 0.1%
11 5
 
< 0.1%
Other values (23) 48
 
0.1%
ValueCountFrequency (%)
0 72721
98.7%
1 671
 
0.9%
2 122
 
0.2%
3 39
 
0.1%
4 22
 
< 0.1%
ValueCountFrequency (%)
155 1
< 0.1%
153 1
< 0.1%
120 1
< 0.1%
35 1
< 0.1%
34 1
< 0.1%

V294
Real number (ℝ)

SKEWED  ZEROS 

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0778002525
Minimum0
Maximum142
Zeros71053
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:33.930280image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum142
Range142
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8546693857
Coefficient of variation (CV)10.98543203
Kurtosis12151.50682
Mean0.0778002525
Median Absolute Deviation (MAD)0
Skewness85.6136421
Sum5731
Variance0.7304597588
MonotonicityNot monotonic
2024-03-09T21:13:34.388843image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 71053
96.5%
1 1391
 
1.9%
2 586
 
0.8%
3 310
 
0.4%
4 132
 
0.2%
5 70
 
0.1%
6 39
 
0.1%
7 20
 
< 0.1%
8 20
 
< 0.1%
10 11
 
< 0.1%
Other values (17) 31
 
< 0.1%
ValueCountFrequency (%)
0 71053
96.5%
1 1391
 
1.9%
2 586
 
0.8%
3 310
 
0.4%
4 132
 
0.2%
ValueCountFrequency (%)
142 1
< 0.1%
88 1
< 0.1%
48 1
< 0.1%
37 1
< 0.1%
35 1
< 0.1%

V295
Real number (ℝ)

SKEWED  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02287444171
Minimum0
Maximum43
Zeros72354
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:34.688957image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum43
Range43
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.257505419
Coefficient of variation (CV)11.25734224
Kurtosis10829.80055
Mean0.02287444171
Median Absolute Deviation (MAD)0
Skewness72.91088703
Sum1685
Variance0.06630904083
MonotonicityNot monotonic
2024-03-09T21:13:34.922115image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 72354
98.2%
1 1110
 
1.5%
2 142
 
0.2%
3 28
 
< 0.1%
4 15
 
< 0.1%
7 6
 
< 0.1%
9 3
 
< 0.1%
5 2
 
< 0.1%
43 1
 
< 0.1%
11 1
 
< 0.1%
ValueCountFrequency (%)
0 72354
98.2%
1 1110
 
1.5%
2 142
 
0.2%
3 28
 
< 0.1%
4 15
 
< 0.1%
ValueCountFrequency (%)
43 1
 
< 0.1%
14 1
 
< 0.1%
11 1
 
< 0.1%
9 3
< 0.1%
7 6
< 0.1%

V296
Real number (ℝ)

SKEWED  ZEROS 

Distinct77
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5235871469
Minimum0
Maximum1646
Zeros61742
Zeros (%)83.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:35.139357image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum1646
Range1646
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.776129466
Coefficient of variation (CV)18.67144662
Kurtosis15916.40226
Mean0.5235871469
Median Absolute Deviation (MAD)0
Skewness115.0314585
Sum38569
Variance95.57270733
MonotonicityNot monotonic
2024-03-09T21:13:35.422545image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61742
83.8%
1 7129
 
9.7%
2 2004
 
2.7%
3 921
 
1.3%
4 460
 
0.6%
5 351
 
0.5%
6 200
 
0.3%
7 140
 
0.2%
8 128
 
0.2%
10 84
 
0.1%
Other values (67) 504
 
0.7%
ValueCountFrequency (%)
0 61742
83.8%
1 7129
 
9.7%
2 2004
 
2.7%
3 921
 
1.3%
4 460
 
0.6%
ValueCountFrequency (%)
1646 1
< 0.1%
1205 1
< 0.1%
856 1
< 0.1%
782 1
< 0.1%
745 1
< 0.1%

V297
Real number (ℝ)

SKEWED  ZEROS 

Distinct76
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4536605894
Minimum0
Maximum2282
Zeros63746
Zeros (%)86.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:35.693493image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum2282
Range2282
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.78284065
Coefficient of variation (CV)28.17710188
Kurtosis20092.50327
Mean0.4536605894
Median Absolute Deviation (MAD)0
Skewness133.2218272
Sum33418
Variance163.401015
MonotonicityNot monotonic
2024-03-09T21:13:35.965499image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63746
86.5%
1 6125
 
8.3%
2 1704
 
2.3%
3 682
 
0.9%
4 362
 
0.5%
5 246
 
0.3%
6 166
 
0.2%
7 111
 
0.2%
10 70
 
0.1%
8 66
 
0.1%
Other values (66) 385
 
0.5%
ValueCountFrequency (%)
0 63746
86.5%
1 6125
 
8.3%
2 1704
 
2.3%
3 682
 
0.9%
4 362
 
0.5%
ValueCountFrequency (%)
2282 1
< 0.1%
1679 1
< 0.1%
1246 1
< 0.1%
1179 1
< 0.1%
595 1
< 0.1%

V298
Real number (ℝ)

SKEWED  ZEROS 

Distinct109
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9772477363
Minimum0
Maximum3928
Zeros57116
Zeros (%)77.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:36.227463image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum3928
Range3928
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.41002145
Coefficient of variation (CV)22.93177115
Kurtosis18525.82291
Mean0.9772477363
Median Absolute Deviation (MAD)0
Skewness126.2433063
Sum71987
Variance502.2090612
MonotonicityNot monotonic
2024-03-09T21:13:36.505412image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57116
77.5%
1 8920
 
12.1%
2 3015
 
4.1%
3 1352
 
1.8%
4 751
 
1.0%
5 486
 
0.7%
6 326
 
0.4%
7 283
 
0.4%
8 198
 
0.3%
9 159
 
0.2%
Other values (99) 1057
 
1.4%
ValueCountFrequency (%)
0 57116
77.5%
1 8920
 
12.1%
2 3015
 
4.1%
3 1352
 
1.8%
4 751
 
1.0%
ValueCountFrequency (%)
3928 1
< 0.1%
2884 1
< 0.1%
2102 1
< 0.1%
1924 1
< 0.1%
1377 1
< 0.1%

V299
Real number (ℝ)

SKEWED  ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01388756906
Minimum0
Maximum124
Zeros73310
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:36.772371image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum124
Range124
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7461520397
Coefficient of variation (CV)53.72805249
Kurtosis20663.3129
Mean0.01388756906
Median Absolute Deviation (MAD)0
Skewness137.6649368
Sum1023
Variance0.5567428663
MonotonicityNot monotonic
2024-03-09T21:13:37.008507image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 73310
99.5%
1 267
 
0.4%
2 27
 
< 0.1%
4 14
 
< 0.1%
3 10
 
< 0.1%
6 9
 
< 0.1%
5 5
 
< 0.1%
7 5
 
< 0.1%
12 3
 
< 0.1%
8 2
 
< 0.1%
Other values (9) 11
 
< 0.1%
ValueCountFrequency (%)
0 73310
99.5%
1 267
 
0.4%
2 27
 
< 0.1%
3 10
 
< 0.1%
4 14
 
< 0.1%
ValueCountFrequency (%)
124 1
< 0.1%
106 1
< 0.1%
102 1
< 0.1%
30 1
< 0.1%
17 1
< 0.1%

V300
Real number (ℝ)

SKEWED  ZEROS 

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02558950898
Minimum0
Maximum133
Zeros72570
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:37.228995image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum133
Range133
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6489608381
Coefficient of variation (CV)25.36042558
Kurtosis27122.47105
Mean0.02558950898
Median Absolute Deviation (MAD)0
Skewness147.6526126
Sum1885
Variance0.4211501694
MonotonicityNot monotonic
2024-03-09T21:13:37.455398image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 72570
98.5%
1 802
 
1.1%
2 195
 
0.3%
3 54
 
0.1%
4 20
 
< 0.1%
5 5
 
< 0.1%
8 3
 
< 0.1%
7 3
 
< 0.1%
10 2
 
< 0.1%
16 1
 
< 0.1%
Other values (8) 8
 
< 0.1%
ValueCountFrequency (%)
0 72570
98.5%
1 802
 
1.1%
2 195
 
0.3%
3 54
 
0.1%
4 20
 
< 0.1%
ValueCountFrequency (%)
133 1
< 0.1%
78 1
< 0.1%
37 1
< 0.1%
36 1
< 0.1%
32 1
< 0.1%

V301
Real number (ℝ)

SKEWED  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005525161886
Minimum0
Maximum27
Zeros73348
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:37.674862image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum27
Range27
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1384876668
Coefficient of variation (CV)25.06490663
Kurtosis20420.8233
Mean0.005525161886
Median Absolute Deviation (MAD)0
Skewness115.1563533
Sum407
Variance0.01917883385
MonotonicityNot monotonic
2024-03-09T21:13:37.879229image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 73348
99.6%
1 274
 
0.4%
2 31
 
< 0.1%
3 6
 
< 0.1%
27 1
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
11 1
 
< 0.1%
ValueCountFrequency (%)
0 73348
99.6%
1 274
 
0.4%
2 31
 
< 0.1%
3 6
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
27 1
 
< 0.1%
11 1
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
3 6
< 0.1%

V302
Real number (ℝ)

SKEWED  ZEROS 

Distinct65
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2674748517
Minimum0
Maximum1299
Zeros67926
Zeros (%)92.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:38.114586image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1299
Range1299
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.535139319
Coefficient of variation (CV)28.17139358
Kurtosis17392.94716
Mean0.2674748517
Median Absolute Deviation (MAD)0
Skewness122.176477
Sum19703
Variance56.77832455
MonotonicityNot monotonic
2024-03-09T21:13:38.405639image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67926
92.2%
1 3549
 
4.8%
2 926
 
1.3%
3 404
 
0.5%
4 224
 
0.3%
5 173
 
0.2%
6 103
 
0.1%
7 59
 
0.1%
8 54
 
0.1%
10 38
 
0.1%
Other values (55) 207
 
0.3%
ValueCountFrequency (%)
0 67926
92.2%
1 3549
 
4.8%
2 926
 
1.3%
3 404
 
0.5%
4 224
 
0.3%
ValueCountFrequency (%)
1299 1
< 0.1%
923 1
< 0.1%
723 1
< 0.1%
662 1
< 0.1%
548 1
< 0.1%

V303
Real number (ℝ)

SKEWED  ZEROS 

Distinct67
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.280887284
Minimum0
Maximum2173
Zeros68345
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:38.688205image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2173
Range2173
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.97814
Coefficient of variation (CV)42.64393826
Kurtosis21076.10379
Mean0.280887284
Median Absolute Deviation (MAD)0
Skewness138.2120922
Sum20691
Variance143.4758378
MonotonicityNot monotonic
2024-03-09T21:13:38.944670image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68345
92.8%
1 3426
 
4.7%
2 808
 
1.1%
3 348
 
0.5%
4 212
 
0.3%
5 129
 
0.2%
6 94
 
0.1%
7 44
 
0.1%
8 44
 
0.1%
9 30
 
< 0.1%
Other values (57) 183
 
0.2%
ValueCountFrequency (%)
0 68345
92.8%
1 3426
 
4.7%
2 808
 
1.1%
3 348
 
0.5%
4 212
 
0.3%
ValueCountFrequency (%)
2173 1
< 0.1%
1472 1
< 0.1%
1303 1
< 0.1%
1199 1
< 0.1%
429 1
< 0.1%

V304
Real number (ℝ)

SKEWED  ZEROS 

Distinct92
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5483621357
Minimum0
Maximum3472
Zeros65131
Zeros (%)88.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:39.196657image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum3472
Range3472
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.4013544
Coefficient of variation (CV)35.38055081
Kurtosis19918.78973
Mean0.5483621357
Median Absolute Deviation (MAD)0
Skewness133.0139062
Sum40394
Variance376.4125527
MonotonicityNot monotonic
2024-03-09T21:13:39.481906image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65131
88.4%
1 4928
 
6.7%
2 1396
 
1.9%
3 592
 
0.8%
4 385
 
0.5%
5 254
 
0.3%
6 162
 
0.2%
7 122
 
0.2%
8 107
 
0.1%
9 81
 
0.1%
Other values (82) 505
 
0.7%
ValueCountFrequency (%)
0 65131
88.4%
1 4928
 
6.7%
2 1396
 
1.9%
3 592
 
0.8%
4 385
 
0.5%
ValueCountFrequency (%)
3472 1
< 0.1%
2395 1
< 0.1%
2026 1
< 0.1%
1861 1
< 0.1%
977 1
< 0.1%

V305
Real number (ℝ)

SKEWED  ZEROS 

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007167777582
Minimum0
Maximum107
Zeros73525
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:39.735295image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum107
Range107
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6228240928
Coefficient of variation (CV)86.89221808
Kurtosis23378.32714
Mean0.007167777582
Median Absolute Deviation (MAD)0
Skewness149.6779959
Sum528
Variance0.3879098506
MonotonicityNot monotonic
2024-03-09T21:13:39.955858image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 73525
99.8%
1 98
 
0.1%
2 19
 
< 0.1%
3 7
 
< 0.1%
5 4
 
< 0.1%
4 3
 
< 0.1%
8 2
 
< 0.1%
107 1
 
< 0.1%
94 1
 
< 0.1%
84 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
ValueCountFrequency (%)
0 73525
99.8%
1 98
 
0.1%
2 19
 
< 0.1%
3 7
 
< 0.1%
4 3
 
< 0.1%
ValueCountFrequency (%)
107 1
< 0.1%
94 1
< 0.1%
84 1
< 0.1%
20 1
< 0.1%
18 1
< 0.1%

V306
Real number (ℝ)

SKEWED  ZEROS 

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01250288476
Minimum0
Maximum139
Zeros73201
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:40.144149image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum139
Range139
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6618723872
Coefficient of variation (CV)52.937574
Kurtosis31243.67494
Mean0.01250288476
Median Absolute Deviation (MAD)0
Skewness165.8228317
Sum921
Variance0.4380750569
MonotonicityNot monotonic
2024-03-09T21:13:40.366863image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 73201
99.4%
1 383
 
0.5%
2 53
 
0.1%
3 8
 
< 0.1%
4 5
 
< 0.1%
5 4
 
< 0.1%
7 2
 
< 0.1%
89 1
 
< 0.1%
139 1
 
< 0.1%
43 1
 
< 0.1%
Other values (4) 4
 
< 0.1%
ValueCountFrequency (%)
0 73201
99.4%
1 383
 
0.5%
2 53
 
0.1%
3 8
 
< 0.1%
4 5
 
< 0.1%
ValueCountFrequency (%)
139 1
< 0.1%
89 1
< 0.1%
43 1
< 0.1%
38 1
< 0.1%
21 1
< 0.1%

V307
Real number (ℝ)

SKEWED  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001751218386
Minimum0
Maximum14
Zeros73564
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:40.558564image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07017725542
Coefficient of variation (CV)40.07338888
Kurtosis22086.10829
Mean0.001751218386
Median Absolute Deviation (MAD)0
Skewness121.420305
Sum129
Variance0.004924847178
MonotonicityNot monotonic
2024-03-09T21:13:40.755531image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 73564
99.9%
1 87
 
0.1%
2 7
 
< 0.1%
3 3
 
< 0.1%
14 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 73564
99.9%
1 87
 
0.1%
2 7
 
< 0.1%
3 3
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
14 1
 
< 0.1%
5 1
 
< 0.1%
3 3
 
< 0.1%
2 7
 
< 0.1%
1 87
0.1%

V308
Real number (ℝ)

SKEWED  ZEROS 

Distinct58
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1852897656
Minimum0
Maximum1268
Zeros70040
Zeros (%)95.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:41.003522image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1268
Range1268
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.145808763
Coefficient of variation (CV)38.56558802
Kurtosis19173.25293
Mean0.1852897656
Median Absolute Deviation (MAD)0
Skewness130.0266935
Sum13649
Variance51.06258288
MonotonicityNot monotonic
2024-03-09T21:13:41.286750image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70040
95.1%
1 2238
 
3.0%
2 604
 
0.8%
3 255
 
0.3%
4 154
 
0.2%
5 109
 
0.1%
6 58
 
0.1%
7 33
 
< 0.1%
8 33
 
< 0.1%
9 17
 
< 0.1%
Other values (48) 122
 
0.2%
ValueCountFrequency (%)
0 70040
95.1%
1 2238
 
3.0%
2 604
 
0.8%
3 255
 
0.3%
4 154
 
0.2%
ValueCountFrequency (%)
1268 1
< 0.1%
863 1
< 0.1%
731 1
< 0.1%
688 1
< 0.1%
426 1
< 0.1%

V309
Real number (ℝ)

SKEWED  ZEROS 

Distinct59
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2217802696
Minimum0
Maximum2337
Zeros70046
Zeros (%)95.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:42.314139image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2337
Range2337
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.24065753
Coefficient of variation (CV)55.19272546
Kurtosis23911.53446
Mean0.2217802696
Median Absolute Deviation (MAD)0
Skewness147.3044385
Sum16337
Variance149.8336968
MonotonicityNot monotonic
2024-03-09T21:13:42.602378image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70046
95.1%
1 2255
 
3.1%
2 589
 
0.8%
3 272
 
0.4%
4 127
 
0.2%
5 102
 
0.1%
6 63
 
0.1%
7 35
 
< 0.1%
8 32
 
< 0.1%
10 22
 
< 0.1%
Other values (49) 120
 
0.2%
ValueCountFrequency (%)
0 70046
95.1%
1 2255
 
3.1%
2 589
 
0.8%
3 272
 
0.4%
4 127
 
0.2%
ValueCountFrequency (%)
2337 1
< 0.1%
1516 1
< 0.1%
1300 1
< 0.1%
1122 1
< 0.1%
291 1
< 0.1%

V310
Real number (ℝ)

SKEWED  ZEROS 

Distinct78
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4070700352
Minimum0
Maximum3605
Zeros68056
Zeros (%)92.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:42.873560image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum3605
Range3605
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.30726654
Coefficient of variation (CV)47.42983975
Kurtosis22357.89607
Mean0.4070700352
Median Absolute Deviation (MAD)0
Skewness141.7272693
Sum29986
Variance372.7705411
MonotonicityNot monotonic
2024-03-09T21:13:43.140734image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68056
92.4%
1 3196
 
4.3%
2 922
 
1.3%
3 425
 
0.6%
4 247
 
0.3%
5 173
 
0.2%
6 120
 
0.2%
7 97
 
0.1%
8 71
 
0.1%
9 55
 
0.1%
Other values (68) 301
 
0.4%
ValueCountFrequency (%)
0 68056
92.4%
1 3196
 
4.3%
2 922
 
1.3%
3 425
 
0.6%
4 247
 
0.3%
ValueCountFrequency (%)
3605 1
< 0.1%
2379 1
< 0.1%
2031 1
< 0.1%
1810 1
< 0.1%
717 1
< 0.1%

V311
Real number (ℝ)

SKEWED  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005240079823
Minimum0
Maximum90
Zeros73569
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:43.372507image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum90
Range90
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5395741909
Coefficient of variation (CV)102.9706052
Kurtosis23474.23365
Mean0.005240079823
Median Absolute Deviation (MAD)0
Skewness151.1804641
Sum386
Variance0.2911403075
MonotonicityNot monotonic
2024-03-09T21:13:43.554711image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 73569
99.9%
1 74
 
0.1%
2 14
 
< 0.1%
90 1
 
< 0.1%
83 1
 
< 0.1%
76 1
 
< 0.1%
3 1
 
< 0.1%
20 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
0 73569
99.9%
1 74
 
0.1%
2 14
 
< 0.1%
3 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
90 1
< 0.1%
83 1
< 0.1%
76 1
< 0.1%
20 1
< 0.1%
12 1
< 0.1%

V312
Real number (ℝ)

SKEWED  ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008240229152
Minimum0
Maximum135
Zeros73451
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:43.758697image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum135
Range135
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6675349161
Coefficient of variation (CV)81.0092661
Kurtosis29949.73163
Mean0.008240229152
Median Absolute Deviation (MAD)0
Skewness165.6654999
Sum607
Variance0.4456028642
MonotonicityNot monotonic
2024-03-09T21:13:43.983150image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 73451
99.7%
1 173
 
0.2%
2 24
 
< 0.1%
3 5
 
< 0.1%
7 2
 
< 0.1%
99 1
 
< 0.1%
135 1
 
< 0.1%
55 1
 
< 0.1%
28 1
 
< 0.1%
5 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
ValueCountFrequency (%)
0 73451
99.7%
1 173
 
0.2%
2 24
 
< 0.1%
3 5
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
135 1
< 0.1%
99 1
< 0.1%
55 1
< 0.1%
28 1
< 0.1%
21 1
< 0.1%

V313
Real number (ℝ)

SKEWED  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001058876234
Minimum0
Maximum14
Zeros73609
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:44.183218image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06380858055
Coefficient of variation (CV)60.26065986
Kurtosis32261.08359
Mean0.001058876234
Median Absolute Deviation (MAD)0
Skewness157.3434236
Sum78
Variance0.004071534952
MonotonicityNot monotonic
2024-03-09T21:13:44.375805image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 73609
99.9%
1 47
 
0.1%
2 4
 
< 0.1%
14 1
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 73609
99.9%
1 47
 
0.1%
2 4
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
14 1
 
< 0.1%
5 1
 
< 0.1%
4 1
 
< 0.1%
2 4
 
< 0.1%
1 47
0.1%

V314
Real number (ℝ)

SKEWED  ZEROS 

Distinct52
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.145147496
Minimum0
Maximum1251
Zeros71183
Zeros (%)96.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:44.613795image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1251
Range1251
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.917470887
Coefficient of variation (CV)47.65821717
Kurtosis20831.37569
Mean0.145147496
Median Absolute Deviation (MAD)0
Skewness136.262013
Sum10692
Variance47.85140348
MonotonicityNot monotonic
2024-03-09T21:13:44.905456image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71183
96.6%
1 1547
 
2.1%
2 409
 
0.6%
3 186
 
0.3%
4 103
 
0.1%
5 58
 
0.1%
6 32
 
< 0.1%
7 26
 
< 0.1%
8 21
 
< 0.1%
10 10
 
< 0.1%
Other values (42) 88
 
0.1%
ValueCountFrequency (%)
0 71183
96.6%
1 1547
 
2.1%
2 409
 
0.6%
3 186
 
0.3%
4 103
 
0.1%
ValueCountFrequency (%)
1251 1
< 0.1%
907 1
< 0.1%
698 1
< 0.1%
606 1
< 0.1%
358 1
< 0.1%

V315
Real number (ℝ)

SKEWED  ZEROS 

Distinct60
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1971681848
Minimum0
Maximum2464
Zeros70955
Zeros (%)96.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:45.186227image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2464
Range2464
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.87157739
Coefficient of variation (CV)65.28222287
Kurtosis24376.92945
Mean0.1971681848
Median Absolute Deviation (MAD)0
Skewness149.0559768
Sum14524
Variance165.6775044
MonotonicityNot monotonic
2024-03-09T21:13:45.472321image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70955
96.3%
1 1744
 
2.4%
2 435
 
0.6%
3 196
 
0.3%
4 102
 
0.1%
5 46
 
0.1%
6 32
 
< 0.1%
7 21
 
< 0.1%
8 18
 
< 0.1%
12 14
 
< 0.1%
Other values (50) 100
 
0.1%
ValueCountFrequency (%)
0 70955
96.3%
1 1744
 
2.4%
2 435
 
0.6%
3 196
 
0.3%
4 102
 
0.1%
ValueCountFrequency (%)
2464 1
< 0.1%
1669 1
< 0.1%
1298 1
< 0.1%
1165 1
< 0.1%
273 1
< 0.1%

V316
Real number (ℝ)

SKEWED  ZEROS 

Distinct76
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3423156809
Minimum0
Maximum3715
Zeros69623
Zeros (%)94.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:45.755414image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum3715
Range3715
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.73417467
Coefficient of variation (CV)57.64905254
Kurtosis23298.00455
Mean0.3423156809
Median Absolute Deviation (MAD)0
Skewness145.2418211
Sum25216
Variance389.4376499
MonotonicityNot monotonic
2024-03-09T21:13:46.022795image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69623
94.5%
1 2353
 
3.2%
2 648
 
0.9%
3 317
 
0.4%
4 191
 
0.3%
5 125
 
0.2%
6 80
 
0.1%
7 49
 
0.1%
8 46
 
0.1%
10 34
 
< 0.1%
Other values (66) 197
 
0.3%
ValueCountFrequency (%)
0 69623
94.5%
1 2353
 
3.2%
2 648
 
0.9%
3 317
 
0.4%
4 191
 
0.3%
ValueCountFrequency (%)
3715 1
< 0.1%
2576 1
< 0.1%
1996 1
< 0.1%
1771 1
< 0.1%
631 1
< 0.1%

V317
Real number (ℝ)

SKEWED  ZEROS 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004384833634
Minimum0
Maximum100
Zeros73610
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:46.258118image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.519025028
Coefficient of variation (CV)118.3682373
Kurtosis26808.69501
Mean0.004384833634
Median Absolute Deviation (MAD)0
Skewness158.9719475
Sum323
Variance0.2693869797
MonotonicityNot monotonic
2024-03-09T21:13:46.472406image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 73610
99.9%
1 43
 
0.1%
2 3
 
< 0.1%
74 1
 
< 0.1%
60 1
 
< 0.1%
100 1
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
25 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 73610
99.9%
1 43
 
0.1%
2 3
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
100 1
< 0.1%
74 1
< 0.1%
60 1
< 0.1%
25 1
< 0.1%
8 1
< 0.1%

V318
Real number (ℝ)

SKEWED  ZEROS 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00587812063
Minimum0
Maximum112
Zeros73536
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:46.683793image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum112
Range112
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5376646817
Coefficient of variation (CV)91.46880703
Kurtosis30122.67345
Mean0.00587812063
Median Absolute Deviation (MAD)0
Skewness164.1457902
Sum433
Variance0.2890833099
MonotonicityNot monotonic
2024-03-09T21:13:46.888901image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 73536
99.8%
1 102
 
0.1%
2 14
 
< 0.1%
3 5
 
< 0.1%
67 1
 
< 0.1%
112 1
 
< 0.1%
51 1
 
< 0.1%
32 1
 
< 0.1%
20 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 73536
99.8%
1 102
 
0.1%
2 14
 
< 0.1%
3 5
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
112 1
< 0.1%
67 1
< 0.1%
51 1
< 0.1%
32 1
< 0.1%
20 1
< 0.1%

V319
Real number (ℝ)

SKEWED  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0006651914801
Minimum0
Maximum8
Zeros73634
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:47.089309image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04645498136
Coefficient of variation (CV)69.83700596
Kurtosis16160.83542
Mean0.0006651914801
Median Absolute Deviation (MAD)0
Skewness114.6547694
Sum49
Variance0.002158065293
MonotonicityNot monotonic
2024-03-09T21:13:47.291140image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 73634
> 99.9%
1 23
 
< 0.1%
3 2
 
< 0.1%
5 2
 
< 0.1%
8 1
 
< 0.1%
2 1
 
< 0.1%
ValueCountFrequency (%)
0 73634
> 99.9%
1 23
 
< 0.1%
2 1
 
< 0.1%
3 2
 
< 0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
5 2
 
< 0.1%
3 2
 
< 0.1%
2 1
 
< 0.1%
1 23
< 0.1%

V320
Real number (ℝ)

SKEWED  ZEROS 

Distinct49
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1179560974
Minimum0
Maximum1192
Zeros71827
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:47.555638image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1192
Range1192
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.614923769
Coefficient of variation (CV)56.07954075
Kurtosis21147.06527
Mean0.1179560974
Median Absolute Deviation (MAD)0
Skewness138.1945572
Sum8689
Variance43.75721647
MonotonicityNot monotonic
2024-03-09T21:13:47.864111image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 71827
97.5%
1 1166
 
1.6%
2 321
 
0.4%
3 125
 
0.2%
4 62
 
0.1%
5 35
 
< 0.1%
6 21
 
< 0.1%
8 13
 
< 0.1%
7 13
 
< 0.1%
9 11
 
< 0.1%
Other values (39) 69
 
0.1%
ValueCountFrequency (%)
0 71827
97.5%
1 1166
 
1.6%
2 321
 
0.4%
3 125
 
0.2%
4 62
 
0.1%
ValueCountFrequency (%)
1192 1
< 0.1%
887 1
< 0.1%
668 1
< 0.1%
614 1
< 0.1%
248 1
< 0.1%

V321
Real number (ℝ)

SKEWED  ZEROS 

Distinct49
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1765200983
Minimum0
Maximum2249
Zeros71431
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:48.138893image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2249
Range2249
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.77699408
Coefficient of variation (CV)72.38265897
Kurtosis21763.07476
Mean0.1765200983
Median Absolute Deviation (MAD)0
Skewness143.0480486
Sum13003
Variance163.2515776
MonotonicityNot monotonic
2024-03-09T21:13:48.391778image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 71431
97.0%
1 1465
 
2.0%
2 364
 
0.5%
3 150
 
0.2%
4 63
 
0.1%
5 45
 
0.1%
6 28
 
< 0.1%
8 18
 
< 0.1%
7 16
 
< 0.1%
9 12
 
< 0.1%
Other values (39) 71
 
0.1%
ValueCountFrequency (%)
0 71431
97.0%
1 1465
 
2.0%
2 364
 
0.5%
3 150
 
0.2%
4 63
 
0.1%
ValueCountFrequency (%)
2249 1
< 0.1%
1845 1
< 0.1%
1344 1
< 0.1%
1232 1
< 0.1%
215 1
< 0.1%

V322
Real number (ℝ)

SKEWED  ZEROS 

Distinct69
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2944761956
Minimum0
Maximum3441
Zeros70491
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:48.643242image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3441
Range3441
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.35418376
Coefficient of variation (CV)65.72410283
Kurtosis21660.5225
Mean0.2944761956
Median Absolute Deviation (MAD)0
Skewness141.8737447
Sum21692
Variance374.5844292
MonotonicityNot monotonic
2024-03-09T21:13:48.945982image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70491
95.7%
1 1882
 
2.6%
2 520
 
0.7%
3 238
 
0.3%
4 127
 
0.2%
5 102
 
0.1%
6 62
 
0.1%
7 44
 
0.1%
9 27
 
< 0.1%
8 23
 
< 0.1%
Other values (59) 147
 
0.2%
ValueCountFrequency (%)
0 70491
95.7%
1 1882
 
2.6%
2 520
 
0.7%
3 238
 
0.3%
4 127
 
0.2%
ValueCountFrequency (%)
3441 1
< 0.1%
2732 1
< 0.1%
2012 1
< 0.1%
1846 1
< 0.1%
463 1
< 0.1%

V323
Real number (ℝ)

SKEWED  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003719642154
Minimum0
Maximum75
Zeros73622
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:49.166475image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum75
Range75
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4445736658
Coefficient of variation (CV)119.5205472
Kurtosis24016.89737
Mean0.003719642154
Median Absolute Deviation (MAD)0
Skewness153.2570748
Sum274
Variance0.1976457443
MonotonicityNot monotonic
2024-03-09T21:13:49.372534image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 73622
99.9%
1 28
 
< 0.1%
2 6
 
< 0.1%
3 2
 
< 0.1%
75 1
 
< 0.1%
62 1
 
< 0.1%
69 1
 
< 0.1%
14 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 73622
99.9%
1 28
 
< 0.1%
2 6
 
< 0.1%
3 2
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
75 1
< 0.1%
69 1
< 0.1%
62 1
< 0.1%
14 1
< 0.1%
8 1
< 0.1%

V324
Real number (ℝ)

SKEWED  ZEROS 

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006136052021
Minimum0
Maximum141
Zeros73558
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:49.579236image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum141
Range141
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.651783585
Coefficient of variation (CV)106.2219784
Kurtosis35189.90659
Mean0.006136052021
Median Absolute Deviation (MAD)0
Skewness179.5341979
Sum452
Variance0.4248218417
MonotonicityNot monotonic
2024-03-09T21:13:49.767402image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 73558
99.9%
1 83
 
0.1%
2 10
 
< 0.1%
3 4
 
< 0.1%
91 1
 
< 0.1%
141 1
 
< 0.1%
43 1
 
< 0.1%
28 1
 
< 0.1%
13 1
 
< 0.1%
11 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
ValueCountFrequency (%)
0 73558
99.9%
1 83
 
0.1%
2 10
 
< 0.1%
3 4
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
141 1
< 0.1%
91 1
< 0.1%
43 1
< 0.1%
28 1
< 0.1%
13 1
< 0.1%

V325
Real number (ℝ)

SKEWED  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0004615614352
Minimum0
Maximum11
Zeros73645
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:49.972503image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04887820156
Coefficient of variation (CV)105.8974989
Kurtosis37972.42846
Mean0.0004615614352
Median Absolute Deviation (MAD)0
Skewness182.4966383
Sum34
Variance0.002389078587
MonotonicityNot monotonic
2024-03-09T21:13:50.176293image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 73645
> 99.9%
1 15
 
< 0.1%
11 1
 
< 0.1%
2 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 73645
> 99.9%
1 15
 
< 0.1%
2 1
 
< 0.1%
6 1
 
< 0.1%
11 1
 
< 0.1%
ValueCountFrequency (%)
11 1
 
< 0.1%
6 1
 
< 0.1%
2 1
 
< 0.1%
1 15
 
< 0.1%
0 73645
> 99.9%

V326
Real number (ℝ)

SKEWED  ZEROS 

Distinct46
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1016385431
Minimum0
Maximum1143
Zeros72240
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:50.405722image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1143
Range1143
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.359873632
Coefficient of variation (CV)62.57344348
Kurtosis20800.48568
Mean0.1016385431
Median Absolute Deviation (MAD)0
Skewness137.167419
Sum7487
Variance40.44799262
MonotonicityNot monotonic
2024-03-09T21:13:50.688926image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 72240
98.1%
1 920
 
1.2%
2 241
 
0.3%
3 88
 
0.1%
4 49
 
0.1%
5 37
 
0.1%
6 9
 
< 0.1%
7 9
 
< 0.1%
8 9
 
< 0.1%
12 8
 
< 0.1%
Other values (36) 53
 
0.1%
ValueCountFrequency (%)
0 72240
98.1%
1 920
 
1.2%
2 241
 
0.3%
3 88
 
0.1%
4 49
 
0.1%
ValueCountFrequency (%)
1143 1
< 0.1%
830 1
< 0.1%
637 1
< 0.1%
629 1
< 0.1%
237 1
< 0.1%

V327
Real number (ℝ)

SKEWED  ZEROS 

Distinct53
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1639086108
Minimum0
Maximum2322
Zeros71801
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:50.940918image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2322
Range2322
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.73165617
Coefficient of variation (CV)77.6753345
Kurtosis22826.42915
Mean0.1639086108
Median Absolute Deviation (MAD)0
Skewness145.8875157
Sum12074
Variance162.0950689
MonotonicityNot monotonic
2024-03-09T21:13:51.222966image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71801
97.5%
1 1228
 
1.7%
2 300
 
0.4%
3 125
 
0.2%
4 53
 
0.1%
5 35
 
< 0.1%
6 24
 
< 0.1%
8 13
 
< 0.1%
7 12
 
< 0.1%
10 7
 
< 0.1%
Other values (43) 65
 
0.1%
ValueCountFrequency (%)
0 71801
97.5%
1 1228
 
1.7%
2 300
 
0.4%
3 125
 
0.2%
4 53
 
0.1%
ValueCountFrequency (%)
2322 1
< 0.1%
1783 1
< 0.1%
1327 1
< 0.1%
1176 1
< 0.1%
230 1
< 0.1%

V328
Real number (ℝ)

SKEWED  ZEROS 

Distinct61
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2655471539
Minimum0
Maximum3465
Zeros71026
Zeros (%)96.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:51.472304image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3465
Range3465
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.04963609
Coefficient of variation (CV)71.73730091
Kurtosis22287.71665
Mean0.2655471539
Median Absolute Deviation (MAD)0
Skewness143.5265776
Sum19561
Variance362.888635
MonotonicityNot monotonic
2024-03-09T21:13:51.747815image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71026
96.4%
1 1603
 
2.2%
2 443
 
0.6%
3 177
 
0.2%
4 105
 
0.1%
5 69
 
0.1%
6 47
 
0.1%
7 37
 
0.1%
8 22
 
< 0.1%
9 21
 
< 0.1%
Other values (51) 113
 
0.2%
ValueCountFrequency (%)
0 71026
96.4%
1 1603
 
2.2%
2 443
 
0.6%
3 177
 
0.2%
4 105
 
0.1%
ValueCountFrequency (%)
3465 1
< 0.1%
2613 1
< 0.1%
1956 1
< 0.1%
1813 1
< 0.1%
467 1
< 0.1%

V329
Real number (ℝ)

SKEWED  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003583888791
Minimum0
Maximum92
Zeros73630
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:51.983186image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum92
Range92
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4688014872
Coefficient of variation (CV)130.8080453
Kurtosis28901.68099
Mean0.003583888791
Median Absolute Deviation (MAD)0
Skewness165.6346178
Sum264
Variance0.2197748344
MonotonicityNot monotonic
2024-03-09T21:13:52.173213image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 73630
> 99.9%
1 26
 
< 0.1%
2 2
 
< 0.1%
92 1
 
< 0.1%
71 1
 
< 0.1%
49 1
 
< 0.1%
13 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 73630
> 99.9%
1 26
 
< 0.1%
2 2
 
< 0.1%
9 1
 
< 0.1%
13 1
 
< 0.1%
ValueCountFrequency (%)
92 1
< 0.1%
71 1
< 0.1%
49 1
< 0.1%
13 1
< 0.1%
9 1
< 0.1%

V330
Real number (ℝ)

SKEWED  ZEROS 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00576951794
Minimum0
Maximum143
Zeros73573
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:52.355715image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum143
Range143
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6504630001
Coefficient of variation (CV)112.7413082
Kurtosis36454.19048
Mean0.00576951794
Median Absolute Deviation (MAD)0
Skewness182.7433262
Sum425
Variance0.4231021145
MonotonicityNot monotonic
2024-03-09T21:13:52.555603image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 73573
99.9%
1 65
 
0.1%
2 15
 
< 0.1%
3 3
 
< 0.1%
5 2
 
< 0.1%
87 1
 
< 0.1%
143 1
 
< 0.1%
47 1
 
< 0.1%
26 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 73573
99.9%
1 65
 
0.1%
2 15
 
< 0.1%
3 3
 
< 0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
143 1
< 0.1%
87 1
< 0.1%
47 1
< 0.1%
26 1
< 0.1%
8 1
< 0.1%

V331
Real number (ℝ)

SKEWED  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0003665340809
Minimum0
Maximum8
Zeros73646
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:52.789092image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03514595322
Coefficient of variation (CV)95.88727229
Kurtosis37423.40939
Mean0.0003665340809
Median Absolute Deviation (MAD)0
Skewness175.3992378
Sum27
Variance0.001235238027
MonotonicityNot monotonic
2024-03-09T21:13:52.985029image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 73646
> 99.9%
1 14
 
< 0.1%
8 1
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
0 73646
> 99.9%
1 14
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
3 1
 
< 0.1%
2 1
 
< 0.1%
1 14
 
< 0.1%
0 73646
> 99.9%

V332
Real number (ℝ)

SKEWED  ZEROS 

Distinct46
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0990999552
Minimum0
Maximum1090
Zeros72362
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:53.252644image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1090
Range1090
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.387998859
Coefficient of variation (CV)64.4601589
Kurtosis18950.28501
Mean0.0990999552
Median Absolute Deviation (MAD)0
Skewness131.9370182
Sum7300
Variance40.80652942
MonotonicityNot monotonic
2024-03-09T21:13:53.525662image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 72362
98.2%
1 885
 
1.2%
2 179
 
0.2%
3 82
 
0.1%
5 34
 
< 0.1%
4 33
 
< 0.1%
8 13
 
< 0.1%
7 9
 
< 0.1%
12 7
 
< 0.1%
6 7
 
< 0.1%
Other values (36) 52
 
0.1%
ValueCountFrequency (%)
0 72362
98.2%
1 885
 
1.2%
2 179
 
0.2%
3 82
 
0.1%
4 33
 
< 0.1%
ValueCountFrequency (%)
1090 1
< 0.1%
835 1
< 0.1%
688 1
< 0.1%
664 1
< 0.1%
293 1
< 0.1%

V333
Real number (ℝ)

SKEWED  ZEROS 

Distinct47
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1621302418
Minimum0
Maximum2163
Zeros71902
Zeros (%)97.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:53.793363image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2163
Range2163
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.60226107
Coefficient of variation (CV)77.72924367
Kurtosis20930.98151
Mean0.1621302418
Median Absolute Deviation (MAD)0
Skewness140.8101398
Sum11943
Variance158.816984
MonotonicityNot monotonic
2024-03-09T21:13:54.076817image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 71902
97.6%
1 1149
 
1.6%
2 299
 
0.4%
3 103
 
0.1%
5 41
 
0.1%
4 41
 
0.1%
6 20
 
< 0.1%
7 19
 
< 0.1%
8 12
 
< 0.1%
10 10
 
< 0.1%
Other values (37) 67
 
0.1%
ValueCountFrequency (%)
0 71902
97.6%
1 1149
 
1.6%
2 299
 
0.4%
3 103
 
0.1%
4 41
 
0.1%
ValueCountFrequency (%)
2163 1
< 0.1%
1814 1
< 0.1%
1390 1
< 0.1%
1251 1
< 0.1%
214 1
< 0.1%

V334
Real number (ℝ)

SKEWED  ZEROS 

Distinct63
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.261230197
Minimum0
Maximum3253
Zeros71235
Zeros (%)96.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:54.339159image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3253
Range3253
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.94067458
Coefficient of variation (CV)72.50568578
Kurtosis20393.0962
Mean0.261230197
Median Absolute Deviation (MAD)0
Skewness138.3567563
Sum19243
Variance358.7491535
MonotonicityNot monotonic
2024-03-09T21:13:54.605615image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71235
96.7%
1 1459
 
2.0%
2 417
 
0.6%
3 161
 
0.2%
4 96
 
0.1%
5 70
 
0.1%
6 48
 
0.1%
7 27
 
< 0.1%
8 20
 
< 0.1%
12 17
 
< 0.1%
Other values (53) 113
 
0.2%
ValueCountFrequency (%)
0 71235
96.7%
1 1459
 
2.0%
2 417
 
0.6%
3 161
 
0.2%
4 96
 
0.1%
ValueCountFrequency (%)
3253 1
< 0.1%
2649 1
< 0.1%
2078 1
< 0.1%
1915 1
< 0.1%
497 1
< 0.1%

V335
Real number (ℝ)

SKEWED  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003353108073
Minimum0
Maximum91
Zeros73637
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:54.825520image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum91
Range91
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4566721798
Coefficient of variation (CV)136.1936955
Kurtosis28977.57089
Mean0.003353108073
Median Absolute Deviation (MAD)0
Skewness166.0853833
Sum247
Variance0.2085494798
MonotonicityNot monotonic
2024-03-09T21:13:55.014852image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 73637
> 99.9%
1 17
 
< 0.1%
2 4
 
< 0.1%
91 1
 
< 0.1%
60 1
 
< 0.1%
58 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
0 73637
> 99.9%
1 17
 
< 0.1%
2 4
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
91 1
< 0.1%
60 1
< 0.1%
58 1
< 0.1%
7 1
< 0.1%
6 1
< 0.1%

V336
Real number (ℝ)

SKEWED  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005525161886
Minimum0
Maximum140
Zeros73584
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:55.206808image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum140
Range140
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.619135364
Coefficient of variation (CV)112.057416
Kurtosis38244.3674
Mean0.005525161886
Median Absolute Deviation (MAD)0
Skewness184.7050707
Sum407
Variance0.383328599
MonotonicityNot monotonic
2024-03-09T21:13:55.406825image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 73584
99.9%
1 58
 
0.1%
2 10
 
< 0.1%
3 3
 
< 0.1%
4 2
 
< 0.1%
70 1
 
< 0.1%
140 1
 
< 0.1%
44 1
 
< 0.1%
38 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 73584
99.9%
1 58
 
0.1%
2 10
 
< 0.1%
3 3
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
140 1
< 0.1%
70 1
< 0.1%
44 1
< 0.1%
38 1
< 0.1%
11 1
< 0.1%

V337
Real number (ℝ)

SKEWED  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0003393834082
Minimum0
Maximum7
Zeros73648
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:55.601275image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03232955158
Coefficient of variation (CV)95.25967031
Kurtosis31370.41747
Mean0.0003393834082
Median Absolute Deviation (MAD)0
Skewness159.4681607
Sum25
Variance0.001045199905
MonotonicityNot monotonic
2024-03-09T21:13:55.807453image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 73648
> 99.9%
1 11
 
< 0.1%
2 2
 
< 0.1%
7 1
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
0 73648
> 99.9%
1 11
 
< 0.1%
2 2
 
< 0.1%
3 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
3 1
 
< 0.1%
2 2
 
< 0.1%
1 11
 
< 0.1%
0 73648
> 99.9%

V338
Real number (ℝ)

SKEWED  ZEROS 

Distinct121
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.336695492
Minimum0
Maximum17298
Zeros69130
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:56.872382image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum17298
Range17298
Interquartile range (IQR)0

Descriptive statistics

Standard deviation105.8110511
Coefficient of variation (CV)79.15868034
Kurtosis18644.72555
Mean1.336695492
Median Absolute Deviation (MAD)0
Skewness133.1426507
Sum98465
Variance11195.97854
MonotonicityNot monotonic
2024-03-09T21:13:57.143666image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69130
93.8%
1 1986
 
2.7%
2 835
 
1.1%
3 427
 
0.6%
4 244
 
0.3%
5 209
 
0.3%
6 132
 
0.2%
7 81
 
0.1%
8 76
 
0.1%
10 55
 
0.1%
Other values (111) 488
 
0.7%
ValueCountFrequency (%)
0 69130
93.8%
1 1986
 
2.7%
2 835
 
1.1%
3 427
 
0.6%
4 244
 
0.3%
ValueCountFrequency (%)
17298 1
< 0.1%
13690 1
< 0.1%
12769 1
< 0.1%
12014 1
< 0.1%
2926 1
< 0.1%

V339
Real number (ℝ)

SKEWED  ZEROS 

Distinct126
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.235966496
Minimum0
Maximum35434
Zeros67670
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:57.424624image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum35434
Range35434
Interquartile range (IQR)0

Descriptive statistics

Standard deviation201.9861338
Coefficient of variation (CV)90.33504487
Kurtosis21570.54128
Mean2.235966496
Median Absolute Deviation (MAD)0
Skewness142.8506886
Sum164708
Variance40798.39823
MonotonicityNot monotonic
2024-03-09T21:13:57.692687image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67670
91.9%
1 2348
 
3.2%
2 1016
 
1.4%
3 583
 
0.8%
4 391
 
0.5%
5 302
 
0.4%
6 211
 
0.3%
7 159
 
0.2%
8 125
 
0.2%
10 101
 
0.1%
Other values (116) 757
 
1.0%
ValueCountFrequency (%)
0 67670
91.9%
1 2348
 
3.2%
2 1016
 
1.4%
3 583
 
0.8%
4 391
 
0.5%
ValueCountFrequency (%)
35434 1
< 0.1%
28734 1
< 0.1%
21847 1
< 0.1%
19983 1
< 0.1%
3661 1
< 0.1%

V340
Real number (ℝ)

SKEWED  ZEROS 

Distinct163
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.572661988
Minimum0
Maximum52732
Zeros66526
Zeros (%)90.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:57.959280image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum52732
Range52732
Interquartile range (IQR)0

Descriptive statistics

Standard deviation307.1992888
Coefficient of variation (CV)85.98610501
Kurtosis20506.97996
Mean3.572661988
Median Absolute Deviation (MAD)0
Skewness139.4384312
Sum263173
Variance94371.40307
MonotonicityNot monotonic
2024-03-09T21:13:58.212850image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66526
90.3%
1 2506
 
3.4%
2 1105
 
1.5%
3 631
 
0.9%
4 468
 
0.6%
5 338
 
0.5%
6 288
 
0.4%
7 238
 
0.3%
8 180
 
0.2%
9 131
 
0.2%
Other values (153) 1252
 
1.7%
ValueCountFrequency (%)
0 66526
90.3%
1 2506
 
3.4%
2 1105
 
1.5%
3 631
 
0.9%
4 468
 
0.6%
ValueCountFrequency (%)
52732 1
< 0.1%
42424 1
< 0.1%
34616 1
< 0.1%
31997 1
< 0.1%
5368 1
< 0.1%

V341
Real number (ℝ)

SKEWED  ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05800741213
Minimum0
Maximum1512
Zeros73590
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:58.438938image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1512
Range1512
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.107499362
Coefficient of variation (CV)139.7666102
Kurtosis26260.0185
Mean0.05800741213
Median Absolute Deviation (MAD)0
Skewness159.5416533
Sum4273
Variance65.7315459
MonotonicityNot monotonic
2024-03-09T21:13:58.641419image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 73590
99.9%
1 54
 
0.1%
2 4
 
< 0.1%
3 4
 
< 0.1%
6 2
 
< 0.1%
66 2
 
< 0.1%
1512 1
 
< 0.1%
1139 1
 
< 0.1%
1097 1
 
< 0.1%
24 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
ValueCountFrequency (%)
0 73590
99.9%
1 54
 
0.1%
2 4
 
< 0.1%
3 4
 
< 0.1%
6 2
 
< 0.1%
ValueCountFrequency (%)
1512 1
< 0.1%
1139 1
< 0.1%
1097 1
< 0.1%
202 1
< 0.1%
70 1
< 0.1%

V342
Real number (ℝ)

SKEWED  ZEROS 

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0756689247
Minimum0
Maximum2068
Zeros73350
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:58.888888image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2068
Range2068
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.197963846
Coefficient of variation (CV)121.5553661
Kurtosis37519.19384
Mean0.0756689247
Median Absolute Deviation (MAD)0
Skewness183.2743453
Sum5574
Variance84.60253891
MonotonicityNot monotonic
2024-03-09T21:13:59.101980image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 73350
99.6%
1 158
 
0.2%
2 55
 
0.1%
3 25
 
< 0.1%
5 15
 
< 0.1%
4 14
 
< 0.1%
7 6
 
< 0.1%
6 5
 
< 0.1%
12 5
 
< 0.1%
9 5
 
< 0.1%
Other values (16) 25
 
< 0.1%
ValueCountFrequency (%)
0 73350
99.6%
1 158
 
0.2%
2 55
 
0.1%
3 25
 
< 0.1%
4 14
 
< 0.1%
ValueCountFrequency (%)
2068 1
< 0.1%
1017 1
< 0.1%
758 1
< 0.1%
555 1
< 0.1%
151 1
< 0.1%

V343
Real number (ℝ)

SKEWED  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002620039911
Minimum0
Maximum75
Zeros73610
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:59.290189image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum75
Range75
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3097716749
Coefficient of variation (CV)118.2316626
Kurtosis48440.36302
Mean0.002620039911
Median Absolute Deviation (MAD)0
Skewness210.4639585
Sum193
Variance0.09595849057
MonotonicityNot monotonic
2024-03-09T21:13:59.505772image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 73610
99.9%
1 42
 
0.1%
2 3
 
< 0.1%
7 2
 
< 0.1%
3 2
 
< 0.1%
75 1
 
< 0.1%
4 1
 
< 0.1%
33 1
 
< 0.1%
13 1
 
< 0.1%
ValueCountFrequency (%)
0 73610
99.9%
1 42
 
0.1%
2 3
 
< 0.1%
3 2
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
75 1
< 0.1%
33 1
< 0.1%
13 1
< 0.1%
7 2
< 0.1%
4 1
< 0.1%

V344
Real number (ℝ)

SKEWED  ZEROS 

Distinct628
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.62168253
Minimum0
Maximum29723
Zeros9082
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:13:59.736400image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median13
Q332
95-th percentile117
Maximum29723
Range29723
Interquartile range (IQR)27

Descriptive statistics

Standard deviation193.0450522
Coefficient of variation (CV)5.917691463
Kurtosis13979.81561
Mean32.62168253
Median Absolute Deviation (MAD)10
Skewness107.9110182
Sum2403011
Variance37266.39218
MonotonicityNot monotonic
2024-03-09T21:14:00.002910image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9082
 
12.3%
6 2841
 
3.9%
5 2748
 
3.7%
8 2747
 
3.7%
7 2708
 
3.7%
9 2554
 
3.5%
4 2462
 
3.3%
10 2445
 
3.3%
11 2316
 
3.1%
12 2036
 
2.8%
Other values (618) 41724
56.6%
ValueCountFrequency (%)
0 9082
12.3%
1 1029
 
1.4%
2 1513
 
2.1%
3 1974
 
2.7%
4 2462
 
3.3%
ValueCountFrequency (%)
29723 1
< 0.1%
22989 1
< 0.1%
21181 1
< 0.1%
20342 1
< 0.1%
7526 1
< 0.1%

V345
Real number (ℝ)

SKEWED  ZEROS 

Distinct674
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.2299119
Minimum0
Maximum56234
Zeros9219
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:00.270247image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median13
Q333
95-th percentile133
Maximum56234
Range56234
Interquartile range (IQR)28

Descriptive statistics

Standard deviation330.1803498
Coefficient of variation (CV)9.113473715
Kurtosis18991.02627
Mean36.2299119
Median Absolute Deviation (MAD)10
Skewness130.7004708
Sum2668804
Variance109019.0634
MonotonicityNot monotonic
2024-03-09T21:14:00.531317image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9219
 
12.5%
7 2801
 
3.8%
8 2783
 
3.8%
6 2672
 
3.6%
5 2590
 
3.5%
9 2565
 
3.5%
10 2441
 
3.3%
4 2335
 
3.2%
11 2259
 
3.1%
12 2108
 
2.9%
Other values (664) 41890
56.9%
ValueCountFrequency (%)
0 9219
12.5%
1 921
 
1.3%
2 1424
 
1.9%
3 1930
 
2.6%
4 2335
 
3.2%
ValueCountFrequency (%)
56234 1
< 0.1%
44451 1
< 0.1%
35490 1
< 0.1%
32973 1
< 0.1%
7057 1
< 0.1%

V346
Real number (ℝ)

SKEWED  ZEROS 

Distinct1024
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.85159442
Minimum0
Maximum85957
Zeros8610
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:00.849911image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112
median26
Q364
95-th percentile249
Maximum85957
Range85957
Interquartile range (IQR)52

Descriptive statistics

Standard deviation520.939123
Coefficient of variation (CV)7.566115605
Kurtosis17215.48782
Mean68.85159442
Median Absolute Deviation (MAD)19
Skewness122.9481919
Sum5071815
Variance271377.5699
MonotonicityNot monotonic
2024-03-09T21:14:01.105756image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8610
 
11.7%
12 1560
 
2.1%
14 1521
 
2.1%
15 1509
 
2.0%
16 1507
 
2.0%
11 1456
 
2.0%
17 1434
 
1.9%
10 1426
 
1.9%
13 1416
 
1.9%
18 1356
 
1.8%
Other values (1014) 51868
70.4%
ValueCountFrequency (%)
0 8610
11.7%
1 247
 
0.3%
2 322
 
0.4%
3 399
 
0.5%
4 542
 
0.7%
ValueCountFrequency (%)
85957 1
< 0.1%
67440 1
< 0.1%
56671 1
< 0.1%
53315 1
< 0.1%
14583 1
< 0.1%

V347
Real number (ℝ)

SKEWED  ZEROS 

Distinct171
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.771866473
Minimum0
Maximum2697
Zeros67011
Zeros (%)91.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:01.372258image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum2697
Range2697
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.73158161
Coefficient of variation (CV)21.67678244
Kurtosis15156.50697
Mean0.771866473
Median Absolute Deviation (MAD)0
Skewness108.9877721
Sum56858
Variance279.945823
MonotonicityNot monotonic
2024-03-09T21:14:01.646724image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67011
91.0%
1 2967
 
4.0%
2 1173
 
1.6%
3 571
 
0.8%
4 346
 
0.5%
5 255
 
0.3%
6 165
 
0.2%
7 135
 
0.2%
8 127
 
0.2%
9 78
 
0.1%
Other values (161) 835
 
1.1%
ValueCountFrequency (%)
0 67011
91.0%
1 2967
 
4.0%
2 1173
 
1.6%
3 571
 
0.8%
4 346
 
0.5%
ValueCountFrequency (%)
2697 1
< 0.1%
2145 1
< 0.1%
1905 1
< 0.1%
445 1
< 0.1%
435 1
< 0.1%

V348
Real number (ℝ)

SKEWED  ZEROS 

Distinct187
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.372873763
Minimum0
Maximum3357
Zeros65998
Zeros (%)89.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:01.929318image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15
Maximum3357
Range3357
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.7795158
Coefficient of variation (CV)7.91424984
Kurtosis15352.89721
Mean2.372873763
Median Absolute Deviation (MAD)0
Skewness96.74926327
Sum174793
Variance352.6702136
MonotonicityNot monotonic
2024-03-09T21:14:02.198946image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65998
89.6%
1 1008
 
1.4%
2 497
 
0.7%
3 314
 
0.4%
4 262
 
0.4%
5 240
 
0.3%
8 202
 
0.3%
10 201
 
0.3%
6 193
 
0.3%
20 193
 
0.3%
Other values (177) 4555
 
6.2%
ValueCountFrequency (%)
0 65998
89.6%
1 1008
 
1.4%
2 497
 
0.7%
3 314
 
0.4%
4 262
 
0.4%
ValueCountFrequency (%)
3357 1
< 0.1%
1841 1
< 0.1%
1172 1
< 0.1%
868 1
< 0.1%
365 1
< 0.1%

V349
Real number (ℝ)

SKEWED  ZEROS 

Distinct86
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9595726484
Minimum0
Maximum274
Zeros53680
Zeros (%)72.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:02.472301image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum274
Range274
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.971142285
Coefficient of variation (CV)4.13844881
Kurtosis1421.441427
Mean0.9595726484
Median Absolute Deviation (MAD)0
Skewness27.60638285
Sum70685
Variance15.76997105
MonotonicityNot monotonic
2024-03-09T21:14:02.738577image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53680
72.9%
1 8111
 
11.0%
2 4173
 
5.7%
3 2304
 
3.1%
4 1429
 
1.9%
5 949
 
1.3%
6 665
 
0.9%
7 491
 
0.7%
8 359
 
0.5%
9 255
 
0.3%
Other values (76) 1247
 
1.7%
ValueCountFrequency (%)
0 53680
72.9%
1 8111
 
11.0%
2 4173
 
5.7%
3 2304
 
3.1%
4 1429
 
1.9%
ValueCountFrequency (%)
274 1
< 0.1%
271 1
< 0.1%
267 1
< 0.1%
242 1
< 0.1%
233 1
< 0.1%

V350
Real number (ℝ)

SKEWED  ZEROS 

Distinct942
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.28889673
Minimum0
Maximum85957
Zeros8848
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:02.996669image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median25
Q360
95-th percentile237
Maximum85957
Range85957
Interquartile range (IQR)49

Descriptive statistics

Standard deviation459.5853515
Coefficient of variation (CV)7.148751571
Kurtosis22199.25734
Mean64.28889673
Median Absolute Deviation (MAD)18
Skewness137.2211654
Sum4735713
Variance211218.6954
MonotonicityNot monotonic
2024-03-09T21:14:03.248253image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8848
 
12.0%
12 1597
 
2.2%
15 1575
 
2.1%
14 1572
 
2.1%
11 1530
 
2.1%
16 1500
 
2.0%
13 1469
 
2.0%
10 1461
 
2.0%
17 1413
 
1.9%
18 1353
 
1.8%
Other values (932) 51345
69.7%
ValueCountFrequency (%)
0 8848
12.0%
1 330
 
0.4%
2 400
 
0.5%
3 467
 
0.6%
4 590
 
0.8%
ValueCountFrequency (%)
85957 1
< 0.1%
56671 1
< 0.1%
53315 1
< 0.1%
19674 1
< 0.1%
14494 1
< 0.1%

V351
Real number (ℝ)

SKEWED  ZEROS 

Distinct345
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.401178339
Minimum0
Maximum47766
Zeros50056
Zeros (%)68.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:03.505514image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10
Maximum47766
Range47766
Interquartile range (IQR)1

Descriptive statistics

Standard deviation179.4177302
Coefficient of variation (CV)40.76583959
Kurtosis68177.08109
Mean4.401178339
Median Absolute Deviation (MAD)0
Skewness256.3226478
Sum324204
Variance32190.7219
MonotonicityNot monotonic
2024-03-09T21:14:03.772075image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50056
68.0%
1 8378
 
11.4%
2 4368
 
5.9%
3 2350
 
3.2%
4 1477
 
2.0%
5 1019
 
1.4%
6 771
 
1.0%
7 586
 
0.8%
8 430
 
0.6%
10 361
 
0.5%
Other values (335) 3867
 
5.2%
ValueCountFrequency (%)
0 50056
68.0%
1 8378
 
11.4%
2 4368
 
5.9%
3 2350
 
3.2%
4 1477
 
2.0%
ValueCountFrequency (%)
47766 1
< 0.1%
2233 1
< 0.1%
2025 1
< 0.1%
2022 1
< 0.1%
1812 1
< 0.1%

V352
Real number (ℝ)

SKEWED  ZEROS 

Distinct34
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1182004534
Minimum0
Maximum57
Zeros69843
Zeros (%)94.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:04.007303image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum57
Range57
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8860877409
Coefficient of variation (CV)7.496483433
Kurtosis854.8077934
Mean0.1182004534
Median Absolute Deviation (MAD)0
Skewness22.32993036
Sum8707
Variance0.7851514845
MonotonicityNot monotonic
2024-03-09T21:14:04.227351image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 69843
94.8%
1 2280
 
3.1%
2 717
 
1.0%
3 269
 
0.4%
4 162
 
0.2%
5 110
 
0.1%
6 67
 
0.1%
8 42
 
0.1%
7 38
 
0.1%
9 33
 
< 0.1%
Other values (24) 102
 
0.1%
ValueCountFrequency (%)
0 69843
94.8%
1 2280
 
3.1%
2 717
 
1.0%
3 269
 
0.4%
4 162
 
0.2%
ValueCountFrequency (%)
57 1
< 0.1%
49 1
< 0.1%
45 1
< 0.1%
44 1
< 0.1%
43 1
< 0.1%

V353
Real number (ℝ)

SKEWED  ZEROS 

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04330532289
Minimum0
Maximum208
Zeros72472
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:04.472134image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum208
Range208
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.220797219
Coefficient of variation (CV)28.19046569
Kurtosis18404.24776
Mean0.04330532289
Median Absolute Deviation (MAD)0
Skewness123.1247661
Sum3190
Variance1.49034585
MonotonicityNot monotonic
2024-03-09T21:14:04.705905image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 72472
98.4%
1 771
 
1.0%
2 170
 
0.2%
3 90
 
0.1%
4 57
 
0.1%
5 23
 
< 0.1%
6 18
 
< 0.1%
8 10
 
< 0.1%
9 7
 
< 0.1%
7 6
 
< 0.1%
Other values (21) 39
 
0.1%
ValueCountFrequency (%)
0 72472
98.4%
1 771
 
1.0%
2 170
 
0.2%
3 90
 
0.1%
4 57
 
0.1%
ValueCountFrequency (%)
208 1
< 0.1%
174 1
< 0.1%
120 1
< 0.1%
55 1
< 0.1%
36 1
< 0.1%

V354
Real number (ℝ)

SKEWED  ZEROS 

Distinct1024
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.85158085
Minimum0
Maximum85957
Zeros8611
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:04.955521image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112
median26
Q364
95-th percentile249
Maximum85957
Range85957
Interquartile range (IQR)52

Descriptive statistics

Standard deviation520.9391248
Coefficient of variation (CV)7.566117123
Kurtosis17215.4876
Mean68.85158085
Median Absolute Deviation (MAD)19
Skewness122.9481907
Sum5071814
Variance271377.5718
MonotonicityNot monotonic
2024-03-09T21:14:05.213247image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8611
 
11.7%
12 1560
 
2.1%
14 1521
 
2.1%
15 1509
 
2.0%
16 1507
 
2.0%
11 1456
 
2.0%
17 1434
 
1.9%
10 1426
 
1.9%
13 1416
 
1.9%
18 1356
 
1.8%
Other values (1014) 51867
70.4%
ValueCountFrequency (%)
0 8611
11.7%
1 246
 
0.3%
2 322
 
0.4%
3 399
 
0.5%
4 542
 
0.7%
ValueCountFrequency (%)
85957 1
< 0.1%
67440 1
< 0.1%
56671 1
< 0.1%
53315 1
< 0.1%
14583 1
< 0.1%

V355
Real number (ℝ)

SKEWED  ZEROS 

Distinct902
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.08542959
Minimum0
Maximum56671
Zeros26444
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:05.455662image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q336
95-th percentile178
Maximum56671
Range56671
Interquartile range (IQR)36

Descriptive statistics

Standard deviation376.4780263
Coefficient of variation (CV)8.737942963
Kurtosis15583.44974
Mean43.08542959
Median Absolute Deviation (MAD)5
Skewness115.7649331
Sum3173802
Variance141735.7043
MonotonicityNot monotonic
2024-03-09T21:14:05.705740image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26444
35.9%
1 4168
 
5.7%
2 2422
 
3.3%
3 1608
 
2.2%
4 1293
 
1.8%
5 1155
 
1.6%
10 1009
 
1.4%
6 964
 
1.3%
8 935
 
1.3%
7 920
 
1.2%
Other values (892) 32745
44.5%
ValueCountFrequency (%)
0 26444
35.9%
1 4168
 
5.7%
2 2422
 
3.3%
3 1608
 
2.2%
4 1293
 
1.8%
ValueCountFrequency (%)
56671 1
< 0.1%
53315 1
< 0.1%
43077 1
< 0.1%
33572 1
< 0.1%
10186 1
< 0.1%

V356
Real number (ℝ)

SKEWED  ZEROS 

Distinct101
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2903085674
Minimum0
Maximum799
Zeros71035
Zeros (%)96.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:05.957026image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum799
Range799
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.921896502
Coefficient of variation (CV)16.9540174
Kurtosis12449.81423
Mean0.2903085674
Median Absolute Deviation (MAD)0
Skewness89.27864767
Sum21385
Variance24.22506518
MonotonicityNot monotonic
2024-03-09T21:14:06.239600image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71035
96.4%
1 959
 
1.3%
2 426
 
0.6%
3 247
 
0.3%
5 126
 
0.2%
4 126
 
0.2%
10 73
 
0.1%
6 73
 
0.1%
7 65
 
0.1%
8 64
 
0.1%
Other values (91) 469
 
0.6%
ValueCountFrequency (%)
0 71035
96.4%
1 959
 
1.3%
2 426
 
0.6%
3 247
 
0.3%
4 126
 
0.2%
ValueCountFrequency (%)
799 1
< 0.1%
594 1
< 0.1%
179 1
< 0.1%
158 1
< 0.1%
147 1
< 0.1%

V357
Real number (ℝ)

SKEWED  ZEROS 

Distinct204
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.59022847
Minimum0
Maximum6818
Zeros30250
Zeros (%)41.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:06.522306image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q317
95-th percentile45
Maximum6818
Range6818
Interquartile range (IQR)17

Descriptive statistics

Standard deviation36.81785655
Coefficient of variation (CV)3.176629057
Kurtosis21819.71185
Mean11.59022847
Median Absolute Deviation (MAD)4
Skewness127.6443702
Sum853771
Variance1355.554561
MonotonicityNot monotonic
2024-03-09T21:14:06.805824image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30250
41.1%
1 2735
 
3.7%
2 1912
 
2.6%
10 1622
 
2.2%
3 1566
 
2.1%
12 1542
 
2.1%
8 1523
 
2.1%
5 1482
 
2.0%
7 1468
 
2.0%
9 1431
 
1.9%
Other values (194) 28132
38.2%
ValueCountFrequency (%)
0 30250
41.1%
1 2735
 
3.7%
2 1912
 
2.6%
3 1566
 
2.1%
4 1344
 
1.8%
ValueCountFrequency (%)
6818 1
< 0.1%
5340 1
< 0.1%
1000 1
< 0.1%
532 1
< 0.1%
505 1
< 0.1%

V358
Real number (ℝ)

SKEWED  ZEROS 

Distinct435
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.48785686
Minimum0
Maximum20912
Zeros43056
Zeros (%)58.4%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:07.083768image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile67
Maximum20912
Range20912
Interquartile range (IQR)6

Descriptive statistics

Standard deviation104.5727233
Coefficient of variation (CV)8.373952752
Kurtosis29441.66724
Mean12.48785686
Median Absolute Deviation (MAD)0
Skewness159.2472083
Sum919893
Variance10935.45447
MonotonicityNot monotonic
2024-03-09T21:14:07.338758image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43056
58.4%
1 4973
 
6.8%
2 2764
 
3.8%
3 1862
 
2.5%
4 1398
 
1.9%
5 1111
 
1.5%
6 856
 
1.2%
7 779
 
1.1%
8 738
 
1.0%
10 728
 
1.0%
Other values (425) 15398
 
20.9%
ValueCountFrequency (%)
0 43056
58.4%
1 4973
 
6.8%
2 2764
 
3.8%
3 1862
 
2.5%
4 1398
 
1.9%
ValueCountFrequency (%)
20912 1
< 0.1%
16190 1
< 0.1%
2555 1
< 0.1%
2069 1
< 0.1%
1262 1
< 0.1%

V359
Real number (ℝ)

SKEWED  ZEROS 

Distinct68
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3012095625
Minimum0
Maximum164
Zeros67890
Zeros (%)92.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:07.592711image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum164
Range164
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.264832557
Coefficient of variation (CV)7.519125683
Kurtosis1305.170017
Mean0.3012095625
Median Absolute Deviation (MAD)0
Skewness28.31448255
Sum22188
Variance5.129466512
MonotonicityNot monotonic
2024-03-09T21:14:07.875499image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67890
92.2%
1 2197
 
3.0%
2 1172
 
1.6%
3 722
 
1.0%
4 445
 
0.6%
5 329
 
0.4%
6 212
 
0.3%
7 117
 
0.2%
8 98
 
0.1%
10 74
 
0.1%
Other values (58) 407
 
0.6%
ValueCountFrequency (%)
0 67890
92.2%
1 2197
 
3.0%
2 1172
 
1.6%
3 722
 
1.0%
4 445
 
0.6%
ValueCountFrequency (%)
164 1
< 0.1%
150 1
< 0.1%
122 1
< 0.1%
118 1
< 0.1%
105 1
< 0.1%

V360
Real number (ℝ)

SKEWED  ZEROS 

Distinct104
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.096547792
Minimum0
Maximum14187
Zeros61103
Zeros (%)82.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:08.923368image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum14187
Range14187
Interquartile range (IQR)0

Descriptive statistics

Standard deviation68.8533682
Coefficient of variation (CV)62.79103264
Kurtosis35503.04345
Mean1.096547792
Median Absolute Deviation (MAD)0
Skewness184.8911549
Sum80775
Variance4740.786313
MonotonicityNot monotonic
2024-03-09T21:14:09.191109image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61103
82.9%
1 5721
 
7.8%
2 2529
 
3.4%
3 1236
 
1.7%
4 749
 
1.0%
5 545
 
0.7%
6 319
 
0.4%
7 236
 
0.3%
8 183
 
0.2%
10 155
 
0.2%
Other values (94) 887
 
1.2%
ValueCountFrequency (%)
0 61103
82.9%
1 5721
 
7.8%
2 2529
 
3.4%
3 1236
 
1.7%
4 749
 
1.0%
ValueCountFrequency (%)
14187 1
< 0.1%
11622 1
< 0.1%
2364 1
< 0.1%
1635 1
< 0.1%
1395 1
< 0.1%

V361
Real number (ℝ)

SKEWED  ZEROS 

Distinct1024
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.85158085
Minimum0
Maximum85957
Zeros8611
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:09.462755image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112
median26
Q364
95-th percentile249
Maximum85957
Range85957
Interquartile range (IQR)52

Descriptive statistics

Standard deviation520.9391248
Coefficient of variation (CV)7.566117123
Kurtosis17215.4876
Mean68.85158085
Median Absolute Deviation (MAD)19
Skewness122.9481907
Sum5071814
Variance271377.5718
MonotonicityNot monotonic
2024-03-09T21:14:09.715324image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8611
 
11.7%
12 1560
 
2.1%
14 1521
 
2.1%
15 1509
 
2.0%
16 1507
 
2.0%
11 1456
 
2.0%
17 1434
 
1.9%
10 1426
 
1.9%
13 1416
 
1.9%
18 1356
 
1.8%
Other values (1014) 51867
70.4%
ValueCountFrequency (%)
0 8611
11.7%
1 246
 
0.3%
2 322
 
0.4%
3 399
 
0.5%
4 542
 
0.7%
ValueCountFrequency (%)
85957 1
< 0.1%
67440 1
< 0.1%
56671 1
< 0.1%
53315 1
< 0.1%
14583 1
< 0.1%

V362
Real number (ℝ)

SKEWED  ZEROS 

Distinct900
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.89044704
Minimum0
Maximum56671
Zeros8815
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:09.940988image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median23
Q356
95-th percentile220
Maximum56671
Range56671
Interquartile range (IQR)46

Descriptive statistics

Standard deviation346.0848619
Coefficient of variation (CV)5.876757256
Kurtosis18320.19552
Mean58.89044704
Median Absolute Deviation (MAD)17
Skewness122.6354554
Sum4338047
Variance119774.7317
MonotonicityNot monotonic
2024-03-09T21:14:10.185804image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8815
 
12.0%
12 1692
 
2.3%
10 1675
 
2.3%
11 1659
 
2.3%
14 1607
 
2.2%
13 1572
 
2.1%
16 1556
 
2.1%
15 1543
 
2.1%
9 1500
 
2.0%
8 1457
 
2.0%
Other values (890) 50587
68.7%
ValueCountFrequency (%)
0 8815
12.0%
1 404
 
0.5%
2 483
 
0.7%
3 625
 
0.8%
4 827
 
1.1%
ValueCountFrequency (%)
56671 1
< 0.1%
53315 1
< 0.1%
29214 1
< 0.1%
23183 1
< 0.1%
11293 1
< 0.1%

V363
Real number (ℝ)

SKEWED  ZEROS 

Distinct389
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.001561164
Minimum0
Maximum56743
Zeros34773
Zeros (%)47.2%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:10.425328image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile30
Maximum56743
Range56743
Interquartile range (IQR)5

Descriptive statistics

Standard deviation268.230729
Coefficient of variation (CV)29.79824545
Kurtosis36980.57863
Mean9.001561164
Median Absolute Deviation (MAD)1
Skewness188.4435619
Sum663082
Variance71947.72399
MonotonicityNot monotonic
2024-03-09T21:14:10.694361image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34773
47.2%
1 7374
 
10.0%
2 5352
 
7.3%
3 3892
 
5.3%
4 2771
 
3.8%
5 2363
 
3.2%
6 1906
 
2.6%
7 1568
 
2.1%
8 1262
 
1.7%
9 1069
 
1.5%
Other values (379) 11333
 
15.4%
ValueCountFrequency (%)
0 34773
47.2%
1 7374
 
10.0%
2 5352
 
7.3%
3 3892
 
5.3%
4 2771
 
3.8%
ValueCountFrequency (%)
56743 1
< 0.1%
43986 1
< 0.1%
3201 1
< 0.1%
2683 1
< 0.1%
2588 1
< 0.1%

V364
Real number (ℝ)

SKEWED  ZEROS 

Distinct80
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8091579219
Minimum0
Maximum267
Zeros55977
Zeros (%)76.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:10.955872image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum267
Range267
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.559245676
Coefficient of variation (CV)4.398703367
Kurtosis1637.577938
Mean0.8091579219
Median Absolute Deviation (MAD)0
Skewness29.69765417
Sum59605
Variance12.66822978
MonotonicityNot monotonic
2024-03-09T21:14:11.219574image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55977
76.0%
1 7398
 
10.0%
2 3740
 
5.1%
3 2065
 
2.8%
4 1254
 
1.7%
5 782
 
1.1%
6 569
 
0.8%
7 380
 
0.5%
8 286
 
0.4%
9 206
 
0.3%
Other values (70) 1006
 
1.4%
ValueCountFrequency (%)
0 55977
76.0%
1 7398
 
10.0%
2 3740
 
5.1%
3 2065
 
2.8%
4 1254
 
1.7%
ValueCountFrequency (%)
267 1
< 0.1%
264 1
< 0.1%
242 1
< 0.1%
230 1
< 0.1%
146 1
< 0.1%

V365
Real number (ℝ)

SKEWED  ZEROS 

Distinct42
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1504147265
Minimum0
Maximum170
Zeros69828
Zeros (%)94.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2024-03-09T21:14:11.480250image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum170
Range170
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.32761292
Coefficient of variation (CV)8.826349324
Kurtosis4079.72392
Mean0.1504147265
Median Absolute Deviation (MAD)0
Skewness43.08738634
Sum11080
Variance1.762556065
MonotonicityNot monotonic
2024-03-09T21:14:11.745728image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 69828
94.8%
1 2100
 
2.9%
2 654
 
0.9%
3 296
 
0.4%
4 190
 
0.3%
5 121
 
0.2%
6 117
 
0.2%
7 66
 
0.1%
8 58
 
0.1%
9 44
 
0.1%
Other values (32) 189
 
0.3%
ValueCountFrequency (%)
0 69828
94.8%
1 2100
 
2.9%
2 654
 
0.9%
3 296
 
0.4%
4 190
 
0.3%
ValueCountFrequency (%)
170 1
< 0.1%
62 2
< 0.1%
58 1
< 0.1%
55 1
< 0.1%
54 1
< 0.1%